Source: http://www.cscjournals.org/journals/SPIJ/citationreport.php
Timestamp: 2019-04-21 06:29:12+00:00

Document:
Krishnan, R., Wu, W., Bodapati, S., & He, L. Accurate Multi-segment Probability Density Estimation Through Moment Matching.
Frie�, J. L. (2016). Einfluss ionisierender Strahlung auf die elektrophysiologischen Eigenschaften kardialer Zellen.
Rahman, M., & Choi, G. S. (2016). Hardware Architecture of Complex K-best MIMO Decoder. arXiv preprint arXiv:1602.06009.
Mrabet, E., Guedri, M., Ichchou, M. N., Ghanmi, S., & Soula, M. (2016). A new reliability based optimization of tuned mass damper parameters using energy approach. Journal of Vibration and Control, 1077546316636361.
Sabor, N., Abo-Zahhad, M., Sasaki, S., & Ahmed, S. M. (2016). An Unequal Multi-hop Balanced Immune Clustering protocol for wireless sensor networks. Applied Soft Computing, 43, 372-389.
Doush, I. A., Alkhatib, F., & Bsoul, A. A. R. (2016). What we have and what is needed, how to evaluate Arabic Speech Synthesizer?. International Journal of Speech Technology, 1-18.
Xu, J. (2016). A new method for reliability assessment of structural dynamic systems with random parameters. Structural Safety, 60, 130-143.
Waghmare, K., Kayte, S., & Gawali, B. (2016). Analysis of Pitch and Duration in Speech Synthesis using PSOLA. Analysis, 4(4).
Kaladharan, N. English Text to Speech Conversion using Indian Pronunciation.
Nasrolahzadeh, M., Mohammadpoori, Z., & Haddadnia, J. (2016). Analysis of mean square error surface and its corresponding contour plots of spontaneous speech signals in Alzheimer's disease with adaptive wiener filter. Computers in Human Behavior, 61, 364-371.
Oster, S., Daus, A. W., Erbes, C., Goldhammer, M., Bochtler, U., & Thielemann, C. (2016). Long-term electromagnetic exposure of developing neuronal networks: A flexible experimental setup. Bioelectromagnetics, 37(4), 264-278.
Regalia, G., Coelli, S., Biffi, E., Ferrigno, G., & Pedrocchi, A. (2016). A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis. Computational Intelligence and Neuroscience, 2016.
Bahja, F., Martino, J., Elhaj, E. I., & Aboutajdine, D. (2016). A corroborative study on improving pitch determination by time�frequency cepstrum decomposition using wavelets. SpringerPlus, 5(1), 1-17.
Patil, M. V., & Srinivas, M. C. Fully Automated Artifact Removal for BCI.
Twayana, K. S., & Joshi, S. R. (2016). Fuzzy Clustering Based Blind Adaptive OFDM System. Journal of Advanced College of Engineering and Management, 1, 51-58.
Biswas, U. (2015). Power Line Interference Removal from ECG Signal Using Notch Filter, Adaptive Filter and Wavelet Packet Transform. American International Journal of Contemporary Scientific Research, 2(6), 17-23.
Hong, L., & Kamruzzaman, J. A new convergence rate estimation of general artificial immune algorithm. Journal of Intelligent and Fuzzy Systems.
Rodr�guez, R., Mexicano, A., Bila, J., Cervantes, S., & Ponce, R. (2015). Feature extraction of electrocardiogram signals by applying adaptive threshold and principal component analysis. Journal of Applied Research and Technology, 13(2), 261-269.
Frie�, J. L., Heselich, A., Ritter, S., Haber, A., Kaiser, N., Layer, P. G., & Thielemann, C. (2015). Electrophysiologic and cellular characteristics of cardiomyocytes after X-ray irradiation. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, 777, 1-10.
Kayte, S., Waghmare, K., & Gawali, B. Marathi Speech Synthesis: A review.
Wahab, W., & Gunawan, D. (2015). A New Selection Method of Anthropometric Parameters in Individualizing Head-Related Impulse Responses. Telkomnika, 13(3).
Ricard, B. (2015). U.S. Patent No. 9,113,044. Washington, DC: U.S. Patent and Trademark Office.
Sridhar, B., & Tadisetty, S. (2015, June). ERLS non parametric spectrum sensing for CR. In Advance Computing Conference (IACC), 2015 IEEE International (pp. 185-190). IEEE.
Satonkar, S. S., Pathak, V. M., & Khanale, P. B. Face Recognition Using Principal Component Analysis and Artificial Neural Network of Facial Images Datasets in Soft Computing.
Rahman, M., & Choi, G. S. (2015). Iterative Soft Decision Based Complex K-best MIMO Decoder. Signal Processing: An International Journal (SPIJ), 9(5), 54.
Lakshmi, m., raj, p., michael, p., tirupathi, r., gopi krishna, p., & bhavani, k. (2015). an insight into adaptive noise cancellation and comparison of algorithms. Journal of Theoretical & Applied Information Technology, 79(1).
Biswas, U., Hasan, K. R., Sana, B., & Maniruzzaman, M. (2015, May). Denoising ECG signal using different wavelet families and comparison with other techniques. In Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on (pp. 1-6). IEEE.
Arizabalo, R. D., Gonz�lez-�valos, E., & Korvin, G. (2015). Multifractal analysis of atmospheric sub-micron particle data. Atmospheric Research, 154, 191-203.
Rosu, M. C., & Hamed, Y. (2015, June). Methods for Denoising the ECG Signal in Wearable Systems. In Electronics, Computers and Artificial Intelligence (ECAI), 2015 7th International Conference on (pp. 1-6). IEEE.
Mannapperuma, K., Holton, B. D., Lesniewski, P. J., & Thomas, J. C. (2015). Performance limits of ICA-based heart rate identification techniques in imaging photoplethysmography. Physiological measurement, 36(1), 67.
Faek, F. K. (2015). Objective Gender and Age Recognition from Speech Sentences.
Pandey, D., & Dewangan, N. (2015, September). Performance analysis of pilot assisted channel estimation in OFDM. In Computer, Communication and Control (IC4), 2015 International Conference on (pp. 1-6). IEEE.
Rathinavelu, A., Sandhiya, C., & Saranya, K. (2015). A novel speech synthesizer using 3D facial model with gestures. International Journal on Disability and Human Development, 14(2), 141-146.
Mamankar, M. P. V., & Vyawahare, H. R. (2015). Design And Implementation Of Multiposes Face Recognization System.
Abukmeil, M. A., Elaydi, H., & Alhanjouri, M. (2015). Palmprint Recognitionvia Bandlet, Ridgelet, Wavelet and Neural Network. Journal of Computer Sciences and Applications, 3(2), 23-28.
Ahammed, K., Ershadullah, M., Heru, M. R. I., Islam, S., & Sazzad, Z. P.Design and implementation of digital filter bank to reduce noise and reconstruct the input signals.
Sankar, A. B., Madhusudhanan, N., & Selvi, J. A. V. Removal of Noise through ANFIS filtering. International Journal of Applied Engineering Research, 10(51), 2015.
Dube-Mawerewere, V. (2015). The Dinosaur of Judicial Disjuncture with Forensic Psychiatric Rehabilitation Processes in Zimbabwe. International Journal of Emergency Mental Health and Human Resilience, 2015.
Akkawar, M. A. B., & Burange, M. S. Review And Comparative Study of Face Recognition Using Different Neural Networking algorithm.
Jambukia, S. H., Dabhi, V. K., & Prajapati, H. B. (2015, March). Classification of ECG signals using machine learning techniques: A survey. In Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in (pp. 714-721). IEEE.
Pirsiavash, A., & Emadi, M. J. (2015, May). A simple channel estimation via biasing OFDM symbols. In Electrical Engineering (ICEE), 2015 23rd Iranian Conference on (pp. 268-273). IEEE.
Olubunmi, A. J., Olusayo, O. E., Bola, A. A., & Ayodeji, O. O. Performance Evaluation Of Selected Principal Component Analysis-Based Techniques For Face Image Recognition.
Pirsiavash, A., & Emadi, M. J. (2015, May). Rician channel characterization in OFDM systems. In Electrical Engineering (ICEE), 2015 23rd Iranian Conference on (pp. 303-307). IEEE.
Xuan, S., & Han, Y. (2015). Improved extreme value weighted sparse representational image denoising with random perturbation. Journal of Electronic Imaging, 24(6), 063004-063004.
Mousa, Y. N., & Abd-Alsalam, N. (2015). An Enhanced Empirical Method on Choosing the Highest Principal Features and the Number of Hidden Neurons in Principal Component Analysis-Artificial Neural Network Face Recognition based System. International Journal of Computer Applications, 111(14).
Jabarullah, B. M., & Babu, C. N. K. (2015). BPNN-hippoamy Algorithm for Statistical Features Classification. Indian Journal of Science and Technology, 8(14).
Alvarez, J. L. B., & Montero, F. E. H.Clasificaci�n autom�tica de modulaciones mpsk utilizando cumulantes de octavo orden.
Ebrahimzadeh, E., Pooyan, M., Jahani, S., Bijar, A., & Setaredan, S. K. (2015).Ecg signals noise removal: selection and optimization of the best adaptive filtering algorithm based on various algorithms comparison.Biomedical Engineering: Applications, Basis and Communications, 1550038.
Awad, M., & Khanna, R. (2015). Cortical Algorithms. In Efficient Learning Machines (pp. 149-165). Apress.
Rady, A., Shokair, M., El-Rabaie, E. S. M., & ElKorany, A. S. (2015). Efficient Technique for Sidelobe Suppression and PAPR Reduction in OFDM-Based Cognitive Radios. Wireless Personal Communications, 1-16.
Kharate, P. S., Raghorte, R. D., Gabhane, S. B., Khasare, S. R., Nikhar, K. D., Chauke, P., & Mishra, M. N. ECG Signal Compression Technique based on DWT & QRS Complex Estimation.
Mouradian, A. (2015). Study of Probabilistic Worst Case Inter-Beacon Delays Under Realistic Vehicular Mobility Conditions. In Ad-hoc, Mobile, and Wireless Networks (pp. 390-403). Springer International Publishing.
Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Al-Ajlouni, A. F. (2015). Wavelet Threshold-Based ECG Data Compression Technique Using Immune Optimization Algorithm. International Journal of Signal Processing, Image Processing and Pattern Recognition, 8(2), 347-360.
Al-Qaisi, A. (2015). Blind Source Separation of Mixed Noisy Audio Signals Using an Improved FastICA. Journal of Applied Sciences, 15(9), 1158.
Surekha, K. S., & Patil, B. P. (2015). Compression of ECG Signal Using Hybrid Technique. In Intelligent Systems in Science and Information 2014 (pp. 385-396). Springer International Publishing.
T�dero, S. A., & Macke, D. J. (2015). Capital social em equipes de trabalho: uma an�lise segundo o grau de formaliza��o dos processos. Revista Brasileira de Gest�o e Inova��o (Brazilian Journal of Management & Innovation), 2(2), 54-80.
Ben-Ezra, Y., & Lembrikov, B. I. (2015). Application of Complex Wavelet Packet Transform (CWPT) in Coherent Optical OFDM (CO-OFDM) Communication Systems.
Should, S. W. L. I. O., Back, W. A. L., & Biswal, A. Daily Pulse: French President Meets Obama, Drones Will Need a Registration Too, and Bankers Get Paid Too Much, Says Banker Isabelle Roughol Daily Pulse: Where Are All the Electric Cars? The Jeff Bezos-Elon Musk Space Race Heats Up, A Penny Far Thing John C Abell.
Randive, N. (2015). Design & Implementation of Data Scrambler anf Descrambler system using VHDL. Global Journal of Computer Science and Technology, 15(2).
Kaklauskas, A. (2015). Web-based Biometric Computer Mouse Advisory System to Analyze a User�s Emotions and Work Productivity. In Biometric and Intelligent Decision Making Support (pp. 137-173). Springer International Publishing.
Ajjaiah, H. B. M., & Hunagund, P. V. (2015). REVIEW PAPER ON DIFFERENT TECHNOLOGY ON ECHO CANCELLATION. International Journal, 3(7), 159-166.
Ahmed, A. U., & Zeidler, J. R. (2015). Novel Low-Complexity Receivers for Constant Envelope OFDM. Signal Processing, IEEE Transactions on, 63(17), 4572-4582.
Belkadid, J., Benbassou, A., El Ghzaoui, M., & Liakouti, A. Action of EM Disturbances on the Availability and Range of Indoor PLC Transmitters and Impact of Radiation on the Environment around Channel.
Singh, N., Godiyal, A. K., Panigrahi, B. K., Anand, S., & Santhosh, J. (2015, September). Source localization in alcoholic and control subjects to estimate cognitive load using EEG signal. In Computer, Communication and Control (IC4), 2015 International Conference on (pp. 1-5). IEEE.
Cheng, L., Xi, L., Zhao, D., Tang, X., Zhang, W., & Zhang, X. (2015). Improved modulation format identification based on Stokes parameters using combination of fuzzy c-means and hierarchical clustering in coherent optical communication system. Chinese Optics Letters, 13(10), 100604.
Massaoudi, Y., Elleuch, D., Mehdi, D., Damak, T., & Hashim, G. (2015). Comparison between non linear controllers applied to a dc-dc boost converter. International Journal of Innovative Computing, Information & Control, 11(3), 935.
Prashanti, G., & Sandhyarani, K. (2015, January). A New Approach for Data Hiding with LSB Steganography. In Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2 (pp. 423-430). Springer International Publishing.
ugeng, H., Wahab, W., & Gunawan, D. (2015). A New Selection Method of Anthropometric Parameters in Individualizing HRIR. TELKOMNIKA (Telecommunication Computing Electronics and Control), 13(3).
Hamdi, N., & Auhmani, K. (2015). A new approach Based on Quantum Clustering and Wavelet Transform for breast cancer Classification: Comparative study. International Journal of Electrical and Computer Engineering, 5(5).
Damarla, T. (2015). Battlefield Acoustics. Springer.
SAHOO, G. K. (2015). A Framework for Remote Patient Monitoring to Diagnose the Cardiac Disorders (Doctoral dissertation, National Institute of Technology Rourkela).
Hong Lu, Gong Chenglong, Wang Jingzhuo, & SOUTHERN. (2015). Elite class clonal selection algorithm Mean convergence rate estimate. Journal of Electronics, 43 (5), 916-921.
Martinez, L. G., Castro, J. R., Licea, G., & Rodriguez-Diaz, A. Using T2FL Toolbox to Improve RAMSET�s Decision Making Fuzzy Model for Software Engineering Role Assignment.
Venkatesh, C. (2015). Some investigations on channel Estimation techniques in multiband OFDM systems.
Yamanaka, Y., Hashimoto, S., Takasu, N. N., Tanahashi, Y., Nishide, S. Y., Honma, S., & Honma, K. I. (2015). Morning and evening physical exercise differentially regulate the autonomic nervous system during nocturnal sleep in humans. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 309(9), R1112-R1121.
Oraizi, H., & Soleimani, H. (2015). Optimum pattern synthesis of non-uniform spherical arrays using the Euler rotation. IET Microwaves, Antennas & Propagation.
Chatterjee, S., Chatterjee, S., & Poddar, D. R. (2015). Synthesis of linear array using Taylor distribution and Particle Swarm Optimisation. International Journal of Electronics, 102(3), 514-528.
Pandey, D., Bhatnagar, A., Kumar, A., Goel, P., & Chandra, M. Implementation of LMS and VSLMS algorithms for Speech Enhancement using TMS320C6713 DSP Processor.
Jimenez, L., Fabian, R., Pardo, B., Camilo, E., Gutierrez, C., & Edgar, A. (2015, September). Analysis performance of adaptive filters for system identification implemented over TMS320C6713 DSP platform. In Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on (pp. 1-8). IEEE.
Singh, S., Tripathy, M., & Anand, R. S. (2015). Binary mask based method for enhancement of mixed noise speech of low SNR input. International Journal of Speech Technology, 18(4), 609-617.
Sultana, N., Kamatham, Y., & Kinnara, B. (2015, August). Performance analysis of adaptive filtering algorithms for denoising of ECG signals. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 297-302). IEEE.
Rohoden Jaramillo, K., & Lude�a Gonzalez, P. (2015, June). Heart sounds compression through wavelet transform coding. In Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on (pp. 1-5). IEEE.
Thakur, D., & Rathore, S. S. Comparison of ecg signal denoising algorithms in fir and wavelet domains.
Subramanian��, A., & Srivatsa, S. K. cluster identification for microarray gene expression data under conflict of interest.
Krishnan, R. (2015). A Moment Matching Based Fitting Algorithm for High Sigma Distribution Modeling.
Singh, A., Saini, B. S., & Singh, D. Heart Rate Variability Signal Processing and Interpretation�A Review.
Anoop, V., Rao, P. V., & Nidhin, M. (2015, April). Performance analysis of speech enhancement methods using adaptive algorithms and optimization techniques. In Communications and Signal Processing (ICCSP), 2015 International Conference on (pp. 1306-1310). IEEE.
Selvi, R. S., & Suresh, G. R. Hybridization of spectral filtering with particle swarm optimization for speech signal enhancement. International Journal of Speech Technology, 1-13.
Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Sasaki, S. (2015). Rearrangement of mobile wireless sensor nodes for coverage maximization based on immune node deployment algorithm. Computers & Electrical Engineering.
Acharya, P., & Agrawal, S. (2015). International journal of engineering sciences & management. Int. J. of Engg. Sci. & Mgmt.(IJESM), 5(2), 131-135.
Ilyes, R., & Ben Ayed, Y. (2014, March). Statistical parametric speech synthesis for Arabic language using ANN. In Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on (pp. 452-457). IEEE.
Lenin, S., & Malarkkan, S. (2014).An extensive review of significant researches on channel estimation in mimo-ofdm. journal of theoretical & applied information technology, 64(2).
Tang, X., & Shu, L. (2014). A Framework of Automatic Analysis System of Electrocardiogram Signals. Int�l J. of Signal Processing, Image Processing and Pattern Recognition, 7(2), 211-222.
Biswas, U., & Maniruzzaman, M. (2014, April). Removing power line interference from ECG signal using adaptive filter and notch filter. In Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on (pp. 1-4). IEEE.
Saady, M. R., El-Borey, H., El-Dahshan, E. S. A., & Yahia, A. S. (2014). Stand-Alone Intelligent Voice Recognition System. Journal of Signal and Information Processing, 5(04), 179.
Stewart, D., Seymour, R., Pass, A., & Ming, J. (2014). Robust audio-visual speech recognition under noisy audio-video conditions. Cybernetics, IEEE Transactions on, 44(2), 175-184.
Abukmeil, M. A., Elaydi, H., & Alhanjouri, M. Palmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network.
Singal, A., & Kedia, D. (2014).Design Issues and Challenges in MIMO-OFDM System: A Review. IUP Journal of Telecommunications, 6(1), 7.
T�dero, S. A. (2014). Capital social e o desenvolvimento das compet�ncias coletivas: um estudo de caso em duas empresas metal�rgicas.
Podder, P., Khan, T. Z., Khan, M. H., & Rahman, M. M. (2014). Comparative Performance Analysis of Hamming, Hanning and Blackman Window. International Journal of Computer Applications, 96(18).
Batou, A. (2014). Dynamique des structures d�formables et des solides rigides-Quantification des incertitudes et r�duction de modele (Doctoral dissertation, Universit� Paris-Est).
Shaikh, M. S., & Gupta, K. (2014). A Review of Spectrum Sensing Techniques for Cognitive Radio. International Journal of Computer Applications, 94(8).
Tiwari, M. K., & Tripathi, N. Design and Implementation of a Novel Face Recognition System.
Anita, C., & Khushbu, S.illumination invariant face recognition system.
DIRIGER, T. D. H., & RECHERCHES, D. (2014). Dynamique des structures d�formables et des solides rigides-Quantification des incertitudes et r�duction de modele.
Li, J., Li, Z., Zhu, W., Chen, X., & Cheng, L. (2014). A new frequency-domain background noise power estimation algorithm. Simulation and Modelling Methodologies, Technologies and Applications, 60, 125.
Sharma, R., & Patterh, M. S. A Systematic Review of PCA and Its Different Form for Face Recognition.
Yadav, A., & Yadav, P. Face Recognition Techniques and Neural Network.
Tang, X., & Shu, L. (2014). Classification of Electrocardiogram Signals with RS and Quantum Neural Networks. Int�l J. of Multimedia and Ubiquitous Engineering, 9(2), 363-372.
El hanine, m., abdelmounim, e., haddadi, r., & belaguid, a. (2014).Electrocardiogram Signal Denoising Using Discrete Wavelet Transform. Computer Technology and Application, 5(2).
Kanhe, R. K., & Hamde, S. T. (2014). Wavelet-based compression of ECG signals. International Journal of Biomedical Engineering and Technology, 14(4), 297-314.
Meher, P. K., & Park, S. Y. (2014). Critical-path analysis and low-complexity implementation of the LMS adaptive algorithm. Circuits and Systems I: Regular Papers, IEEE Transactions on, 61(3), 778-788.
Jiao, Y., Cheung, R. Y., Chow, W. W., & Mok, M. P. (2014, August). Signed-gradient adaptive step size LMS algorithm for biomedical applications. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE (pp. 3208-3211). IEEE.
Biswas, U., Das, A., Debnath, S., & Oishee, I. (2014, May). ECG signal denoising by using least-mean-square and normalised-least-mean-square algorithm based adaptive filter. In Informatics, Electronics & Vision (ICIEV), 2014 International Conference on (pp. 1-6). IEEE.
Mendiratta, A., & Jha, D. (2014, January). Adaptive Noise Cancelling for audio signals using Least Mean Square algorithm. In Electronics, Communication and Instrumentation (ICECI), 2014 International Conference on (pp. 1-4). IEEE.
Wang, H. B., Yen, C. W., Liang, J. T., Wang, Q., Liu, G. Z., & Song, R. (2014). A Robust Electrode Configuration for Bioimpedance Measurement of Respiration. Journal of healthcare engineering, 5(3), 313-328.
Gallegos, E. A. T., Bustamante, F. O., & Cos�o, F. A. Sistema de foto-antropometr�a automatizada y su uso en la personalizaci�n de funciones de transferencia ac�stica referidas a la cabeza (HRTF).
Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Sasaki, S. (2014, May). Coverage maximization in mobile Wireless Sensor Networks utilizing immune node deployment algorithm. In Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on (pp. 1-6). IEEE.
Malathi, A., & Karthikeyan, N. (2014, May). Performance analysis of acoustic echo cancellation using Adaptive Neruo Fuzzy Inference System. In Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on (pp. 1132-1136). IEEE.
Kiran, G. H. (2014). Noise Cancellation of ECG Signal Using Adaptive Technique. IJRCCT, 3(4), 556-562.
Kaushik, G., Sinha, H. P., & Dewan, L. (2014).Biomedical signals analysis by dwt signal denoising with neural networks. journal of theoretical and applied information technology, 62(1).
Rothbucher, M., Kuhn, A., & Diepold, K. HRTF Customization using the LDV HRTF-database.
Wagh, R. D., Khandarkar, K. R., Shipne, D. D., & Kharde, S. P. (2014). Noise Removal from Electrocardiogram (ECG) a Comparison Approaches. Int J Adv Res Comp Eng Technol (IJARCET), 3(1), 47-51p.
Surekha, K. S., & Patil, B. P. (2014, August). ECG signal compression using hybrid 1D and 2D wavelet transform. In Science and Information Conference (SAI), 2014 (pp. 468-472). IEEE.
Abdelmounim, E., Haddadi, R., & Belaguid, A. (2014, November). A new simple and efficient technique for ECG compression based on leads converter and DWT coefficients thresholding. In Complex Systems (WCCS), 2014 Second World Conference on (pp. 638-643). IEEE.
Abdelmounim, E., Haddadi, R., & Belaguid, A. (2014, April). ElectroCardioGram signal denoising using Discrete Wavelet Transform. In Multimedia Computing and Systems (ICMCS), 2014 International Conference on (pp. 1065-1070). IEEE.
Haddadi, R., Abdelmounim, E., & Belaguid, A. (2014, April). Discrete Wavelet Transform based algorithm for recognition of QRS complexes. In Multimedia Computing and Systems (ICMCS), 2014 International Conference on (pp. 375-379). IEEE.
Lenin, S., & Malarkkan, S. (2014).An extensive review of significant researches on channel estimation in mimo-ofdm.Journal of Theoretical & Applied Information Technology, 64(2).
Vidhya, K., & Kumar, K. S. (2014).Channel Estimation of MIMO�OFDM System Using PSO and GA. Arabian Journal for Science and Engineering, 39(5), 4047-4056.
Patwari, A. K., Pansari, D., Singh, V. P., & Singh, V. P. Nav view search.
Patwari, A. K., Pansari, A. P. D., & Singh, V. P. Analysis of ECG Signal Compression Technique Using Discrete Wavelet Transform for Different Wavelets. signal, 5, 7.
Patwari, A. K., Pansari, A. P. D., & Singh, V. P. A Survey of ECG Signal Compression Techniques based on Discrete Wavelet Transform.
Dhamangaonkar, A., Gupta, V., & Karn, R. K. (2014). Performance Comparison of SER and SNR using different states of PSK in presence of various noises. International Journal of Advanced Research in Computer Science, 5(5).
Almisreb, A. A., Abidin, A. F., & Tahir, N. M. (2014, December). Comparison of speech features for Arabic phonemes recognition system based Malay speakers. In Systems, Process and Control (ICSPC), 2014 IEEE Conference on (pp. 79-83). IEEE.
Ismail, A., Idris, M. Y. I., Noor, N. M., Razak, Z., & Yusoff, Z. (2014).Mfcc-vq approachfor qalqalah tajweed rule checking. Malaysian Journal of Computer Science, 27(4).
Venkatanarayana, M. (2014). Variance reduction in power spectrum using cepstral thresholding appraoch.
Shaikh, M. S., & Gupta, K. (2014). Analysis of Cognitive Radio Spectrum Sensing Techniques. International Journal of Computer Applications, 102(12).
Liu Zhan, Shijin Qian, Wuren Bin, Xing Yong, & Yang Rui. (2014). Synthesis of multiple parabolic antenna side lobe suppression. Microwave Technology, 30 (1), 29-33.
Kaur, H., & Talwar, R. (2014). Optimal Selection of Wavelet and Threshold Using Cuckoo Search for Noise Suppression in Speech Signals. International Review on Computers and Software (IRECOS), 9(9), 1496-1506.
Pandey, D., & Dewangan, N. (2014). MSE and SER Compare For LS, MMSE and SMMSE for BCE Technique in OFDM. i-Manager's Journal on Communication Engineering and Systems, 3(3), 14.
Frie�, J., Heselich, A., Ritter, S., Layer, P. G., & Thielemann, C. (2014). Electrophysiologic and molecular characteristics of cardiomyocytes after heavy ion irradiation in the frame of the ESA IBER-10 program. Journal of radiation research, 55(suppl 1), i40-i41.
Nick, C., & Thielemann, C. (2014). Are Carbon Nanotube Microelectrodes Manufactured from Dispersion Stable Enough for Neural Interfaces?. BioNanoScience, 4(3), 216-225.
L�pez, F. R. J., Beainy, C. E. P., & C�ceres, E. A. G. (2014). Adaptive filtering implemented over TMS320c6713 DSP platform for system identification. ITECKNE: Innovaci�n e Investigaci�n en Ingenier�a, 11(2), 157-171.
Bozkurt, B., Ayangil, R., & Holzapfel, A. (2014). Computational analysis of turkish makam music: Review of state-of-the-art and challenges. Journal of New Music Research, 43(1), 3-23.
Acharya, P.Speech enhancement using unbiased normalized adaptive filtering technique.
SUMAN, M. (2014).Enhancement of compressed noisy speech signal.
Ravi, R., & Mija, S. J. (2014, May). Design of Brain Emotional Learning Based Intelligent Controller (BELBIC) for uncertain systems. In Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on (pp. 1089-1093). IEEE.
Nath, D., & Kalita, S. K. (2014, January). An effective age detection method based on short time energy and zero crossing rate. In Business and Information Management (ICBIM), 2014 2nd International Conference on (pp. 99-103). IEEE.
Xie, Y., Peng, C., Jiang, X., & Ouyang, S. (2014, August). Hardware design and implementation of DOA estimation algorithms for spherical array antennas. In Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on (pp. 219-223). IEEE.
Schmuker, M., Pfeil, T., & Nawrot, M. P. (2014). A neuromorphic network for generic multivariate data classification. Proceedings of the National Academy of Sciences, 111(6), 2081-2086.
Ben-Ezra, Y., Brodeski, D., & Lembrikov, B. I. (2014, July). High spectral efficiency OFDM based on complex wavelet packets. In Transparent Optical Networks (ICTON), 2014 16th International Conference on (pp. 1-3). IEEE.
SIGNAL, A. N. Global Journal of Advanced Engineering Technologies and Sciences.
Dash, I., & Biswal, K. (2014). Noise cancellation of ECG signal using adaptive and Backpropagation neural network algorithms. The international journal of emerging technology and advanced engineering, 4(5).
Gonzalez-Delgado, L., Valencia-Redrovan, D., Robles-Bykbaev, V., Gonzalez-Delgado, N., & Panzner, T. (2014, October). Fuzzy controller for automatic microphone gain control in an autonomous support system for elderly. In e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on (pp. 77-81). IEEE.
Orazi, H., Soleimani, H., & Azadkhah, R. (2014). Synthesis of linearly polarised patterns of conical arrays by the method of least square. IET Microwaves, Antennas & Propagation, 9(2), 185-191.
Chatterjee, S., & Chatterjee, S. (2014). Pattern synthesis of centre fed linear array using Taylor one parameter distribution and restricted search Particle Swarm Optimization. Journal of Communications Technology and Electronics, 59(11), 1112-1127.
Charles, S., & Govardhan, A. (2014). Secured Wireless Data Transmission over a Noisy AWGN Channel with Double Steganography and AES Cryptography.
Malhotra, L., & Gupta, N. (2014). A DWT and DCT based Hybrid Approach for Audio Watermarking.
Manjunatha Reddy, H. S. (2014). Design of image steganographic systems for covert communication.
Hosseini, H., Yusof, S. K. B. S., Fisal, N., & Farzamnia, A. (2014). Wavelet Packet-Based Transceiver for Cognitive UWB�metteur-r�cepteur� base de paquet d'ondelette pour les applications cognitives UWB. Electrical and Computer Engineering, Canadian Journal of, 37(2), 59-64.
Anees, S. J. (2014). Wavelet Packet (WP) Based Multi-carrier Modulation (MCM) Technique for Cognitive Radio System in Satellite Communications (Doctoral dissertation, COMSATS Institute of Information Technology Lahore-Pakistan).
Pramanik, M., & Sharma, K. Analysis of Visual Cryptography, Steganography Schemes and its Hybrid Approach for Security of Images.
Ghosh, B. R., Banerjee, S., Dey, S., Ganguli, S., & Sarkar, S. (2014, January). Off-line signature verification system using weighted complete bipartite graph. In Business and Information Management (ICBIM), 2014 2nd International Conference on (pp. 109-113). IEEE.
Abo-Zahhad, M. M., Abdel-Hamid, T. K., & Mohamed, A. M. (2014). Compression of ECG signals based on DWT and exploiting the correlation between ECG signal samples. International Journal of Communications, Network and System Sciences, 7(1), 53.
Husssain, L. (2014). Classification of Human Faces and Non Faces Using Machine Learning Techniques. Global Journal on Technology, (6).
Mahajan, R., & Bansal, D. (2014, October). Hybrid multichannel EEG compression scheme for tele-health monitoring. In Reliability, Infocom Technologies and Optimization (ICRITO)(Trends and Future Directions), 2014 3rd International Conference on (pp. 1-6). IEEE.
Su, L., Sun, M., Li, C., & Peng, X. (2014). A Nonparametric Derivative-Based Method for R Wave Detection in ECG. Journal of Computer and Communications, 2(12), 26.
Bouaziz, F., Boutana, D., & Benidir, M. (2014). Multiresolution wavelet-based QRS complex detection algorithm suited to several abnormal morphologies. IET Signal Processing, 8(7), 774-782.
Al-Kadi, M. I., Reaz, M. B. I., Ali, M. A. M., & Liu, C. Y. (2014). Reduction of the Dimensionality of the EEG Channels during Scoliosis Correction Surgeries Using a Wavelet Decomposition Technique. Sensors, 14(7), 13046-13069.
Toufiq, R., & Islam, M. R. (2014, April). Face recognition system using PCA-ANN technique with feature fusion method. In Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on (pp. 1-5). IEEE.
Hijriah, A., Fauziyah, M., & Dewatama, D. (2014). Implementasi JST Backpropagation pada Face Recognition untuk Percepatan Proses Sistem Absensi. Jurnal Elektronika Otomasi Industri, 1(1).
Hadhami, I., & Aicha, B. (2014). Speech Signal Enhancement Using Empirical Mode Decomposition and Adaptive Method Based on the Signal for Noise Ratio Objective Evaluation. International Review on Computers and Software (IRECOS), 9(8), 1461-1467.
Shih, H. H. (2014). Cardiac Arrhythmia Classification and ECG Synthesis Based on Dynamic models.
Aldhahab, A., Atia, G., & Mikhael, W. B. (2014, August). Supervised facial recognition based on multi-resolution analysis and feature alignment. In Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on (pp. 137-140). IEEE.
Biswas, A., Ghose, M. K., & Pandit, M. (2014). Comparison of Different Neural Network Architectures for Classification of Feature Transformed Data for Face Recognition. International Journal of Computer Applications, 96(12).
Farouk, M. H. (2014). Speaker Recognition. In Application of Wavelets in Speech Processing (pp. 33-35). Springer International Publishing.
Mucha, C. M. (2014). Theorie und Empirie des Phon�sthems (Doctoral dissertation, lmu).
Toufiq, R., Chowdhury, M. S. H., & Islam, M. R. (2014). Face Detection and Recognition System Using Back-Propagation Neural Network Classifier. Journal of Artificial Intelligence Research & Advances, 1(1), 21-26.
Vadhera, A., & Kansal, L. (2013). BER Analysis of 2x2 Spatial Multiplexing under AWGN and Rayleigh Channels for Different Modulations. Global Journal of Researches in Engineering Electrical and Electronics Engineering, 13, 53-58.
HRamos, O. A., Tommasini, F. C., Ferreyra, S. P., Cravero, A., & Guido, M. (2013).Mec�nica Computacional, Volume XXXII. Number 35. Acoustics and Vibrations (B).
Holton, B. D., Mannapperuma, K., Lesniewski, P. J., & Thomas, J. C. (2013). Signal recovery in imaging photoplethysmography. Physiological measurement, 34(11), 1499.
Kaur, A., Singh, S., Bhatia, K. S., & Singh, K. (2013). Simulative Analysis of CATV Systems for Long Haul Transmission. J. Opt. Commun., 34(4), 393-399.
Al-Kadi, M. I., Reaz, M. B. I., & Ali, M. A. M. (2013). Evolution of electroencephalogram signal analysis techniques during anesthesia. Sensors, 13(5), 6605-6635.
Nassiri, B., Latif, R., Toumanari, A., Elouaham, S., & Maoulainine, F. M. R. (2013). ECG Signal De-Noising and Compression Using Discrete Wavelet Transform and Empirical Mode Decomposition Techniques. International Journal on Numerical and Analytical Methods in Engineering (IRENA), 1(5), 245-252.
Kuhn, A., & Rothbucher, M. (2013). HRTF Customization by Regression. Masterarbeit, Technische Universit�t M�nchen.
Sun, H., & Zhu, Q. (2013, December). Blind speech signal separation in wireless sensor networks. In Image and Signal Processing (CISP), 2013 6th International Congress on (Vol. 3, pp. 1422-1426). IEEE.
Vidhya, K., & Shankarkumar, K. R. (2013). BER Performance of MIMO-OFDM System using STTC. International Journal of Scientific and Research Publications, 3(2), 1.
Rutledge, D. N., & Bouveresse, D. J. R. (2013). Independent components analysis with the JADE algorithm. TrAC Trends in Analytical Chemistry, 50, 22-32.
Sharma, D. P. (2013). FPGA based Data Scrambler for Ultra-Wideband Communication Systems.
Chakraborty, S. (2013). Advantages of Blackman Window over Hamming Window Method for designing FIR Filter. International Journal of Computer Science & Engineering Technology (IJCSET), 4(08).
Kaur, N., & Kansal, L. PAPR Reduction of OFDM Signal by Using Walsh Hadamard Transform with �-Law Companding.
Kaur, N., & Kansal, L. (2013).Discrete cosinetransform-ii for reduction in peak to average power ratio of ofdm signals through �-law companding technique. international journal of wireless & mobile networks, 5(2), 143.
Kaur, L. K. (2013). Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Discrete Cosine Transform-II. Global Journal of Researches In Engineering, 13(6).
Krishnan, R., Wu, W., Gong, F., & He, L. (2013, March). Stochastic behavioral modeling of analog/mixed-signal circuits by maximizing entropy. In Quality Electronic Design (ISQED), 2013 14th International Symposium on (pp. 572-579). IEEE.
Batou, A., & Soize, C.(2013).Calculation of Lagrange multipliers in the construction of maximum entropy distributions in high stochastic dimension. SIAM/ASA Journal on Uncertainty Quantification, 1(1), 431-451.
Kaur, N., & Kansal, L. (2013).Performance Comparison of MIMO Systems over AWGN and Rayleigh Channels using OSTBC3 with Zero Forcing Receivers. International Journal of Electrical, Electronics and Computer Systems, 12(2), 686-693.
Kaur, N., & Kansal, L. (2013).Reducing the Peak to Average Power Ratio of OFDM Signal through Discrete Cosine Transform-II. International Journal of Electrical, Electronics and Computer Systems, 12(2).
Almaamory, A. N. (2013). A Proposed Turbo Coded Wavelet Packet Modulation based MC-CDMA. International Journal of Computer Applications, 70(6), 35-41.
Sharma, D. P. (2013). Data Scrambler for Ultra-Wideband Communication Systems. International Journal of Electronics Communications and Electrical Engineering, 3.
Vega, L. R., & Rey, H. (2013). Stochastic Gradient Adaptive Algorithms. In A Rapid Introduction to Adaptive Filtering (pp. 33-88). Springer Berlin Heidelberg.
Mansouri, H., Hamadouche, M., & Ettoumi, F. Y. (2013). Real Time Implementation on TMS320C6711 DSP processor of a new CFAR Radar. Signal Processing: An International Journal (SPIJ), 7(1), 87.
Kaur, N., & Kansal, L. (2013).Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Walsh Hadamard Transform. International Journal of Wireless & Mobile Networks, 5(1), 33.
Vignolo, L. D., Milone, D. H., & Rufiner, H. L. (2013). Genetic wavelet packets for speech recognition. Expert Systems with Applications, 40(6), 2350-2359.
Ramos, O. A., Tommasini, F. C., Araneda, M., Ferreyra, S. P., & Cravero, A. Mec�nica Computacional, Volume XXXI. Number 26. Acoustics and Mechanical Vibrations (B).
Kamel, A. M. (2013). Client-Based QoS Monitoring and Evaluation Architecture for Network Infrastructure and Services.
Zhu, W. J., Feng, Y., Huang, M., Li, T. H., & Mao, F. C. (2013, December). An improved PLL and its performance simulation. In Applied Mechanics and Materials (Vol. 427, pp. 1557-1562).
Mistry, R., & Oza, S. (2013). Survey of Optimization of NCO for Digital Communication Systems. In International Conference on Research & Development in Engineering, Technology and Science-2013, ICRD-ETS-2013.
Palaniappan, R., Sundaraj, K., Ahamed, N. U., Arjunan, A., & Sundaraj, S. (2013). Computer-based respiratory sound analysis: a systematic review. IETE Technical Review, 30(3), 248-256.
Chavathe, J. J., & Thakre, P. V. Speech Operated System using DSP: A Review.
Hemakumar, G., & Punitha, P. (2013). Speech recognition technology: a survey on Indian languages. International Journal of Information Science and Intelligent System, 2(4), 1-38.
Wang, J., Tang, L., & Bronlund, J. E. (2013). Surface EMG signal amplification and filtering. International Journal of Computer Applications, 82(1), 15-22.
Sharma, Y. Minimization of Interferences in ECG.
Singh, S., Tripathy, M., & Anand, R. S. (2013, September). Noise removal in single channel Hindi speech patterns by using binary mask thresholding function in various mother wavelets. In Signal Processing, Computing and Control (ISPCC), 2013 IEEE International Conference on (pp. 1-4). IEEE.
Islam Molla, M. K., Das, S., Hamid, M. E., & Hirose, K. (2013). Empirical Mode Decomposition for Advanced Speech Signal Processing. Journal of Signal Processing, 17(6), 215-229.
Sarkar, S., Maulik, U., & Biswas, B. (2013). Performance of a new split digital phase lock loop in additive wideband Gaussian noise. International Journal of Adaptive Control and Signal Processing, 27(12), 1107-1117.
Prabha, C. (2013). Underwater Target Localization, Tracking and Classification (Doctoral dissertation, Cochin University of Science And Technology).
Vadhera, A., & Kansal, L.(2013). BER Analysis of 2x2 MIMO Spatial Multiplexing under AWGN and Rician Channels for Different Modulations Techniques. International Journal of Wireless and Mobile Networks, 5, 85-98.
Satyanarayana, K., Sarma, A. D., Praveen, P. N., Malini, M., & Reddy, D. K. (2013). Mitigation of Cellular Phone Interference in ECG During Emergency Patient Transportation. Cardiovascular Engineering and Technology, 4(4), 544-552.
Sindhumol, S., Kumar, A., & Balakrishnan, K. (2013, April). Wavelet based independent component analysis for multispectral brain tissue classification. In Communications and Signal Processing (ICCSP), 2013 International Conference on (pp. 415-418). IEEE.
Karamangala, N., & Kumaraswamy, R. (2013). Speaker Recognition in Uncontrolled Environment: A Review. Journal of Intelligent Systems, 22(1), 49-65.
Faek, F. K., & Al-Talabani, A. K. (2013). Speaker Recognition from Noisy Spoken Sentences. International Journal of Computer Applications, 70(20), 11-14.
Volchenko, JK, & Yemel'yanenko, T. (2013). Information technology and software face recognition. Actual problems of automation and information technology (17), 52-58.
SOFTWARE, Ivan T. T. (2013). UK Volchenko TG Yemel'yanenko Oles Honchar Dnipropetrovsk National University INFORMATION TECHNOLOGY AND SOFTWARE face recognition.
Volchenko, Y. K., & Yemelianenko, T. H. (2013). INFORMATION TECHNOLOGY AND SOFTWARE face recognition. Actual problems of automation and information technology, 17.
Sindhumol, S., Kumar, A., & Balakrishnan, K. (2013). Automated Brain Tissue Classification by Multisignal Wavelet Decomposition and Independent Component Analysis. ISRN Biomedical Imaging, 2013.
Tiporlini, V. (2013). Magnetocardiography in unshielded environment based on optical magnetometry and adaptive noise cancellation.
Daus, A. W. (2013). Zellbasierte Biosensoren--Hybride Systeme aus dreidimensionalen in vitro Netzwerken und Mikroelektroden Arrays.
Bayram, K. S., Kizrak, M. A., & Bolat, B. (2013, June). Classification of EEG Signals by using Support Vector Machines. In Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on (pp. 1-3). IEEE.
Hadhami, I., & Bouzid, A. (2013). Speech Denoising Based on Empirical Mode Decomposition and Improved Thresholding. In Advances in Nonlinear Speech Processing (pp. 200-207). Springer Berlin Heidelberg.
Issaoui, H., & Bouzid, A. Speech Signal Enhancement using Empirical Mode Decomposition and Adaptive Method based on the Signal for Noise Ratio Objective Evaluation.
Vadhera, A., & Kansal, L.BER Analysis of 3x3 MIMO Spatial Multiplexing under AWGN & Rayleigh Channels for Different Modulation Techniques.
Prabha, C., Ananthakrishnan, V., Supriya, M. H., & Pillai, P. S. (2013). Localisation of underwater targets using sensor networks. International Journal of Sensor Networks, 13(3), 185-196.
SOFTWARE, Ivan T. D. (2013). UK Vovchenko TG Emelianenko Oles Honchar Dnipropetrovsk National University INFORMATION TECHNOLOGY AND SOFTWARE face recognition.
Parashar, A., & Ghosh, P. K. (2013). Speech Enhancement and Denoising Using Digital Filters. International Journal of Engineering Science and Technology, 5(5), 1094.
Tiporlini, V., Nguyen, H. N., & Alameh, K. (2013). Noise cancellation in unshielded magnetocardiography based on least-mean-squared algorithm and genetic algorithm.
Mohamad-Ali, B. S. (2013, December). Single input adaptive 50 Hz noise canceller from ECG signal. In Electrical, Communication, Computer, Power, and Control Engineering (ICECCPCE), 2013 International Conference on (pp. 64-69). IEEE.
Khondekar, M. H., Ghosh, D. N., Ghosh, K., & Bhattacharjee, A. K. (2013). Complexity in Solar Irradiance From the Earth Radiation Budget Satellite.
Janu�auskas, A., Marozas, V., & Luko�evicius, A. (2013). Ensemble empirical mode decomposition based feature enhancement of cardio signals. Medical engineering & physics, 35(8), 1059-1069.
Hajj, N., & Awad, M. (2013, August). Weighted entropy cortical algorithms for isolated Arabic speech recognition. In Neural Networks (IJCNN), The 2013 International Joint Conference on (pp. 1-7). IEEE.
Pietila, G. M. (2013). Intelligent Systems Approaches to Product Sound Quality Analysis (Doctoral dissertation, University of Cincinnati).
Acharjee, P. B., Talukdar, J., Das, A., & Talukdar, P. H. (2013, November). Dialect variation and associated G2P rules with reference to Bodo language. In Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2013 International Conference (pp. 1-4). IEEE.
Ghasemi, J., Ghaderi, R., Mollaei, M. K., & Hojjatoleslami, S. A. (2013). A novel fuzzy Dempster�Shafer inference system for brain MRI segmentation. Information Sciences, 223, 205-220.
Ghasemi, J., Mollaei, M. R. K., Ghaderi, R., & Hojjatoleslami, A. (2013). Multi-Dimensional Fuzzy C-Mean Considering Spatial Information for Brain MRI Segmentation. Majlesi Journal of Electrical Engineering, 8(1), 37-44.
Jiao, Y., Cheung, R. Y., Chow, W. W., & Mok, M. P. (2013, July). A novel gradient adaptive step size LMS algorithm with dual adaptive filters. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (pp. 4803-4806). IEEE.
Ghauri, S. A., Adeel, H., Abbas, S. S., Mir, A., & Nawaz, I. (2013). Face Recognition using Adaptive Neural Network. IJCCER, 1(4), 111-114.
Zeng, H., & Luo, R. (2013). Preferred Skin Color Enhancement of Digital Photographic Images. International Journal of Image Processing (IJIP), 7(4), 314.
Agarwal, P., & Prakash, N. (2013). An efficient back propagation neural network based face recognition system using haar wavelet transform and PCA. International Journal of Computer Science and Mobile Computing (IJCSMC), 2(5), 386-395.
Al-allaf, O. N., Tamimi, A. A., & Alia, M. A. (2013). Face Recognition System Based on Different Artificial Neural Networks Models and Training Algorithms. International Journal of Advanced Computer Science and Applications, 4(6).
Agarwal, P., & Prakash, N. (2013). Modular Approach for Face Recognition System using Multilevel Haar Wavelet Transform, Improved PCA and Enhanced Back Propagation Neural Network. International Journal of Computer Applications, 75(7), 29-36.
Ebied, H. M., Revett, K., & Tolba, M. F. (2013). Evaluation of unsupervised feature extraction neural networks for face recognition. Neural Computing and Applications, 22(6), 1211-1222.
Narang, G., Singh, S., & Narang, A. (2013, December). Robust face recognition method based on SIFT features using Levenberg-Marquardt Backpropagation neural networks. In Image and Signal Processing (CISP), 2013 6th International Congress on (Vol. 2, pp. 1000-1005). IEEE.
Panchal, K., & Shah, H. (2013, December). 3D Face Recognition Based on Pose Correction Using Euler Angle Method. In Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on (pp. 467-471). IEEE.
Savchenko, Y. K., & Emelianenko, T. H. (2013).information technology and software face recognition. Actual problems of automation and information technology 17.
Kraft, S., Lerch, A., & Z�lzer, U. (2013). The tonalness spectrum: feature-based estimation of tonal components. In 16th International Conference on Digital Audio Effects (DAFx-13), Maynooth, Ireland (p. 8).
Anoop, V., & Rao, P. V. (2013). Speech Signal Quality Improvement Using Cuckoo Search Algorithm. International Journal of Engineering Innovations and Research, 2(6), 519.
Saini, R. Review of Different Techniques of Image Steganography.
Yu Yao, & Zhao Heming. (2013). An improved minimum statistical noise power spectrum estimation algorithm. Computer Engineering and Applications, 49 (4).
Prakash, R. An Efficient Back Propagation Neural Network Based Face Recognition System Using Haar Wavelet Transform and PCA.
Patnaik, B., & Sahu, P. K. (2013).Ultra high capacity 1.28 Tbps DWDM system design and simulation using optimized modulation format. Optik-International Journal for Light and Electron Optics, 124(13), 1567-1573.
Junoh, A. K., & Mansor, M. N. (2013). A Comprehensive Study of Crime Detection with PCA and Different Neural Network Approach. In Advances in Information Systems and Technologies (pp. 611-618). Springer Berlin Heidelberg.
Jayaramu, H. S., Shivakumar, K. B., Srinidhi, G. A., & Goutam, A. K. A Novel Steganography Technique USING Same Scale Wavelet.
Pittalia, P. P., & Solanki, M. K. H. An Invention Approach to 3D Face Recognition using Combination of 2D Texture Data and 3D Shape Data.
Yu, Y., & Zhao, H. (2013). Improved of noise estimation algorithm based on minimum statistic. Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications), 49(4), 134-137.
Debacq, S., De Roeck, S., & Roets, J. Project Machine Learning.
Agrawal, D., & Diwedi, S. (2013, February). Analysis of random bit image steganography techniques. In IJCA Proceedings on International Conference on Recent Trends in Engineering and Technology 2013 (No. 1, pp. 1-4). Foundation of Computer Science (FCS).
Bandyopadhyay, S., Mistri, H., Chattopadhyay, P., & Maji, B. (2013, September). Antenna array synthesis by implementing non-uniform amplitude using Tsukamoto fuzzy logic controller. In Advanced Electronic Systems (ICAES), 2013 International Conference on (pp. 19-23). IEEE.
Azmy, H., & Safri, N. M. (2013). EEG Based BCI Using Visual Imagery Task for Robot Control. Jurnal Teknologi, 61(2).
Lutfi, L., & Binti, S. (2013). User-centric need-driven affect modeling for spoken conversational agents: design and evaluation (Doctoral dissertation, Telecomunicacion).
Shaikh, A. A., Kumar, D. K., & Gubbi, J. (2013). Automatic visual speech segmentation and recognition using directional motion history images and Zernike moments. The Visual Computer, 29(10), 969-982.
Daramola, S. A., & Odeghe, O. S. (2012). Efficient face recognition system using artificial neural network. International Journal of Computer Applications, 41(21), 12-15.
Hamid, M. E., Das, S., Hirose, K., & Molla, M. K. I. (2012). Speech enhancement using EMD based adaptive soft-thresholding (EMD-ADT). International Journal of Signal Processing, Image Processing and Pattern Recognition, 5(2), 1-16.
Sawalha, R., & Doush, I. (2012). Face recognition using harmony search-based selected features. International Journal of Hybrid Information Technology, 5(2), 1-16.
Kumar, S., & Singh, H. (2012). Transmission Performance 64� 10 Gb/s WDM system based on optical hybrid amplifiers Using RZ-Soliton modulation format at different transmission distance. IOSR Journal of Engineering, 2(7), 7-12.
Rahman, M. U. (2012). A comparative study on face recognition techniques and neural network. arXiv preprint arXiv:1210.1916.
Lingeswari, P., Venkatesan, K. P., & Vijayarangan, V. (2012). Comparison of Primary Transmitter Detection based Spectrum Sensing Techniques in Cognitive Radio Systems. Wireless Communication, 4(9), 524-528.
Hauser, V. (2012). Rozpozn�v�n� obliceju v obraze (Doctoral dissertation, Vysok� ucen� technick� v Brne. Fakulta elektrotechniky a komunikacn�ch technologi�).
Alanizi, F. (2012).applying feature selection on local binary patterns/wldfor ethnicity classification for category-specific face recognition (doctoral dissertation, king saud university).
Bhatia, E. K. S., Kamal, T. S., & Kaler, R. S. (2012). Peak-to-average power ratio reduction using coded signal in optical-orthogonal frequency division multiplexing systems. IET Optoelectronics, 6(5), 250-254.
Bhatia, K. S., Kamal, T. S., & Kaler, R. S. (2012). An adaptive compensation scheme-based coded direct detection optical�orthogonal frequency division multiplex (OFDM) system. Computers & Electrical Engineering, 38(6), 1573-1578.
Avila, J., & Thenmozhi, K. (2012). Wavelet Supersede FFT in MB-OFDM: an Effective Cognitive Spectrum Sensing. Journal of Artificial Intelligence, 5(3), 113-121.
Patil, S., & CHORE, H. A Peer Reviewed International Journal.
Paul, J. (2012). A New Reclassification Method for Highly Uncertain Microarray Data in Allergy Gene Prediction (Doctoral dissertation).
Khan, M. U., Habib, H. A., & Saleem, N. (2012). A Hybrid Approach for Gender Classification of Web Images. International Journal of Computer Applications, 54(7).
Achmad, B., & Firdausy, K. (2012). Neural Network-based Face Pose Tracking for Interactive Face Recognition System. International Journal on Advanced Science, Engineering and Information Technology, 2(1), 105-108.
Sehgal, U., & Saini, S.facial image recognition model implementation with artificial neural networks using dimensions reduction techniques pca.
Jung Eui-chul, gimsangyun, gimon, and jogiryang. (2012). Optimal directional synthesis of linear array source. The Journal of Korea Information and Communications Society, 37 (4), 250-259.
Nanaware, V. S., & Mahabole, S. Article: ECG Compression using Discrete Wavelet Transform and QRS-Complex Estimation}. International Journal, 29-32.
Kumar, K., Anand, S., & Yadava, R. L. Advanced DSP Technique to Remove Baseline Noise from ECG Signal. International Journal of Electronics and Computer Science Engineering, 1013.
Nanaware, V., & Patil, S. (2012). ECG Signal Compression Using Discrete Wavelet Transform. Digital Signal Processing, 4(6), 219-222.
Roja, M. M., & Sawarkar, S. (2012). A Fusion Approach for Signature Recognition. International Journal of Computer and Electrical Engineering, 4(4), 600.
El-Khamy, S. E., & Elsayed, H. A. (2012). Classification of Multi-User Chirp Modulation Signals Using Wavelet Higher-Order-Statistics Features and Artificial Intelligence Techniques. Int'l J. of Communications, Network and System Sciences, 5(09), 520.
Lin, Z., Yao, M., & Shen, X. (2012). Sidelobe reduction of the low profile multi-subarray antenna by genetic algorithm. AEU-International Journal of Electronics and Communications, 66(2), 133-139.
Yadav, M., Yadav, A., & Yadav, P. Analysis of Various Image Steganography Techniques.
Sudha, K. L. (2012). Text Steganography using LSB insertion method along with Chaos Theory. arXiv preprint arXiv:1205.1859.
Bhavana, S., & Sudha, K. L. (2012). Text Steganography using LSB insertion method along with Chaos Theory. International Journal of Computer Science, Engineering and Applications, 2(2), 145.
Miao Qi wide Kongzhe Peng, & Yanhong. (2012). Optimization function distributed immune evolutionary algorithm. Systems Engineering and Electronics, 34 (2), 413-417.
Mora, L. A., & Amaya, J. E. (2012, October). Proposal of asymmetric multi-classifier of arrhythmias. In Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En (pp. 1-7). IEEE.
Bouaziz, F., Boutana, D., & Benidir, M. (2012, December). Automatic detection method of R-wave positions in electrocardiographic signals. In Microelectronics (ICM), 2012 24th International Conference on (pp. 1-4). IEEE.
Yan, J. B. (2012). Design and analysis of reconfigurable MIMO antennas for next generation wireless communication systems (Doctoral dissertation, University of Illinois at Urbana-Champaign).
Echaust, K. (2012). Analiza rekord�w na podstawie indeksu WIG20. Zeszyty Naukowe/Uniwersytet Ekonomiczny w Poznaniu, (221), 7-17.
Sunitha, K. V., & Sharada, A. (2012). Dynamic Construction of Telugu Speech Corpus for Voice Enabled Text Editor. International Journal of Human Computer Interaction (IJHCI), 3(4), 83.
Alharbi, H., Mobien, S., Alshebeili, S., & Alturki, F. (2012). Automatic modulation classification of digital modulations in presence of HF noise.Eurasip Journal on Advances in Signal Processing, 2012(1), 1-14.
Ghasemi, J., Mollaei, M. R. K., Ghaderi, R., & Hojjatoleslami, A. (2012). Brain tissue segmentation based on spatial information fusion by Dempster-Shafer theory. Journal of Zhejiang University SCIENCE C, 13(7), 520-533.
Hegde, V. N., Deekshit, R., & Satyanarayana, P. S. (2012). Dct-based variable step size griffiths'lms algorithm for random noise cancellation in ecgs. Journal of Mechanics in Medicine and Biology, 12(05), 1250025.
Khondekar, M. H., Ghosh, D. N., Ghosh, K., & Bhattacharya, A. K. (2012). An investigation on the relationship between solar irradiance signal from ERBS and 8B solar neutrino flux signals from SNO. Astrophysics and Space Science, 342(2), 287-301.
Shukla, S., Bhargav, A., & Badal, P. Review of Face Recognition Technology Using Feature Fusion Vector.
Varugheese, D., & Muniraj, N. (2012). FPGA Implementation of New Adaptive DWT-IDWT Lifting Technique for OFDM. European Journal of Scientific Research, 75(1), 92-103.
Bandyopadhyay, S. (2012). Antenna Array Synthesis Using The Optimization (Doctoral dissertation, National Institute of Technology, Durgapur).
Zare, S., Salimi, G. B., & Harsini, J. S.An algorithm for efficient estimation of the frequency spectrum in cognitive radio systems.
Yu Yao, & Zhao Heming. (2012). Noise power non-stationary noise environments spectral estimation method of data acquisition and processing, (4), 486-489.
Jamwal, S. (2012, March). Power line interference cancellation in ECG signals using Alpha-Beta filter. In Signal Processing, Computing and Control (ISPCC), 2012 IEEE International Conference on (pp. 1-6). IEEE.
Lin, M. K. (2012). Evaluating the acceptance of mobile technology in healthcare: development of a prototype mobile ECG decision support system for monitoring cardiac patients remotely (Doctoral dissertation, University of Southern Queensland).
Hegde, V. N., Deekshit, R., & Satyanarayana, P. S. (2012).Random noise cancellation in biomedical signals using variable step size griffith lms adaptive line enhancer.Journal of Mechanics in Medicine and Biology, 12(04), 1240020.
Esfandian, N., Razzazi, F., & Behrad, A. (2012). A clustering based feature selection method in spectro-temporal domain for speech recognition. Engineering Applications of Artificial Intelligence, 25(6), 1194-1202.
Ye, J., Kobayashi, T., Murakawa, M., Higuchi, T., & Otsu, N. (2012). Anomaly detection using multi-channel FLAC for supporting diagnosis of ECG.Institute of Electrical Engineers of Japan Journal of C (Electronics and Information Systems Division magazine), 132 (1), 111-119.
Chakraborty, M., & Das, S. (2012). Determination of signal to noise ratio of electrocardiograms filtered by band pass and savitzky-golay filters. Procedia Technology, 4, 830-833.
Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Al-Ajlouni, A. F. (2012). A New Method for Fastening the Convergence of Immune Algorithms Using an Adaptive Mutation Approach.
Miao Guang Kai, Kong Zhepeng, & Yanhong. (2012). Optimization function distributed immune evolutionary algorithm. Systems Engineering and Electronics, 34 (2), 413-417.
Jeong, E. C., Kim, S. Y., Kim, O., & Cho, K. R. (2012). Optimal Directivity Synthesis of Linear array Sources. The Journal of Korean Institute of Communications and Information Sciences, 37(4A), 250-259.
Jung Eui-chul, gimsangyun, gimon, & jogiryang. (2012). Optimal orientation of the composite linear array source. Journal of Korea Information and Communications Society, 37 (4), 250-259.
Jiao, Y., Cheung, R. Y., & Mok, M. P. (2012, August). Modified Log-LMS adaptive filter with low signal distortion for biomedical applications. In Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE (pp. 5210-5213). IEEE.
Ramos, O. A., Tommasini, F. C., Araneda, M., Ferreyra, S. P., & Cravero, A. (2012).Preprocesamiento eficaz para modelar las respuestas impulsivas de cabeza, utilizando an�lisis de componentes principales.
Kashyap, S., & Maheshwari, M. Implementation of High Performance Fir Filter Using Low Power Multiplier and Adder. Research Scholar, Department of Electronics and Communication Jaipur National University, Jaipur, Rajasthan, India.
Chaudhary, K. (2012). Joint Error Optimization Algorithms for Multimodal Information Fusion.
Wakhare, V., & Thombare, C. Implementation of WPM Modulation on DSP Processor.
Manifar, S. (2012). Arm Movements Effects in Response to Posture Instability (Doctoral dissertation, M. Sc. Thesis, Ryerson University, Toronto, Ontario, Canada).
Madhavrao, M. N. P., & Hogade, M. B. An Efficient Data Communication Using Conventional Codes.
El-Khamy, S. E., Badran, E. F., & Zaki, A. I. A New Wavelet Space Time Coding Technique Designed for UWB MISO Systems. Session 3P7 RF and Wireless Communication, Multipath, 694.
Pietila, G., & Lim, T. C. (2012). Intelligent systems approaches to product sound quality evaluations�A review. Applied Acoustics, 73(10), 987-1002.
Kadhim, A. A., & Abdulwahab, W. (2012, April). Scalable video transmission using OFDM schemes over wireless channels. In Future Communication Networks (ICFCN), 2012 International Conference on (pp. 63-68). IEEE.
Sankar, A. B., Kumar, D., & Seethalakshmi, K. Performance Evaluation of Adaptive Neuro Fuzzy Inference System with Adaptive Filter Algorithms for Cancelling Noise from Respiratory Signal.
Vidhya, K., & Kumar, R. S. (2012, March). Channel estimation techniques for OFDM systems. In Pattern Recognition, Informatics and Medical Engineering (PRIME), 2012 International Conference on (pp. 135-139). IEEE.
Conde, E. M. D. (2012). Detection techniques for the uplink of LTE.
Kallel, F., Ghorbel, M., Frikha, M., Berger-Vachon, C., & Hamida, A. B. (2012). A noise cross PSD estimator based on improved minimum statistics method for two-microphone speech enhancement dedicated to a bilateral cochlear implant. Applied Acoustics, 73(3), 256-264.
Jousselme, A. L., & Maupin, P. (2012). An evidential pattern matching approach for vehicle identification. In Belief Functions: Theory and Applications (pp. 45-52). Springer Berlin Heidelberg.
Perrin, G. (2012). Multipoint optimization of a loudspeakeer impulse response.
Thalkar, S., & Upasani, D. Review Paper���� Various Techniques for Removal of Power Line Interference From ECG Signal.
Yu, Y., & Zhao, H. (2012). New noise estimation method for highly non-stationary noise environments. Journal of Data Acquisition & Processing, 27(4), 486-489.
Panda, R. (2012). Removal of Artifacts from Electrocardiogram (Doctoral dissertation, National Institute of Technology Rourkela).
Shalini, M. D., & Sreenivasulu, M. P. Denoising Bio-Signals Using Various Adaptive Filters.
Paul, B., & Mythili, P. (2012, August). ECG noise removal using GA tuned sign-data least mean square algorithm. In Advanced Communication Control and Computing Technologies (ICACCCT), 2012 IEEE International Conference on (pp. 100-103). IEEE.
Sankar, B. A., Kumar, D., & Seethalakshmi, K. (2012). A New Self-Adaptive Neuro Fuzzy Inference System for the Removal of Non-Linear Artifacts from the Respiratory Signal. Journal of Computer Science, 8(5), 621.
Das, S. (2012). Acquisition, Processing and Analysis of Normal, Diseased and Music Stimulated ECG Signals (Doctoral dissertation, JADAVPUR UNIVERSITY KOLKATA).
Hmad, N., & Allen, T. (2012). Biologically inspired Continuous Arabic Speech Recognition. In Research and Development in intelligent systems XXIX (pp. 245-258). Springer London.
Dastgheib-Beheshti, B. (2012). Development of a Full Experimental Framework for the Technical Reference Model of Wireless Sensor Networks (Doctoral dissertation, University of Massachusetts Dartmouth).
de Souza, R. B.an�lise multifractal de s�ries temporais de focos de calor no brasil.
Jin, Y., Lakshminarasimhan, S., Shah, N., Gong, Z., Chang, C. S., Chen, J., ... & Samatova, N. F. (2011, December). S-preconditioner for multi-fold data reduction with guaranteed user-controlled accuracy. In Data Mining (ICDM), 2011 IEEE 11th International Conference on (pp. 290-299). IEEE.
Vidhya, K. R. K. K., & Kumar, K. S. (2011). Enhanced channel estimation technique for MIMO-OFDM systems with the aid of EP techniques. European Journal of Scientific Research, 67(1), 140-156.
El ghzaoui Mohammed, B. J., & Ali, B. Performance Evaluation of CE-OFDM in PLC Channel.
Murthy, A. S. N., & Rani, D. E. (2011). Speech Enhancement by Cascaded Spectral Subtraction. Digital Signal Processing, 3(5), 188-191.
Belhia, S., Benyettou, M., & Lehireche, A. (2011). Handwritten signatures recognition using Liquid State Machine. International Journal of Biometrics, 3(2), 148-158.
Ghasemi, J., Mollaei, M. R. K., Ghaderi, R., & Hojjatoleslami, A. (2011, November). Brain Tissue Segmentation by FCM and Dempster-Shafer Theory. In Machine Vision and Image Processing (MVIP), 2011 7th Iranian (pp. 1-5). IEEE.
Hosseini, H., Fisal, N., & Syed-Yusof, S. K. (2011). Enhanced FCME thresholding for wavelet-based cognitive UWB over fading channels. ETRI Journal, 33(6), 961-964.
Rahman, M. Z. U., Mohedden, S. K., Rao, B. R. M., Reddy, Y. J., & Karthik, G. V. S. (2011). Filtering Non-Stationary Noise in Speech Signals using Computationally Efficient Unbiased and Normalized Algorithm. International Journal on Computer Science and Engineering, ISSN, 0975-3397.
Karthik, G. V. S., Kumar, M. A., & Rahman, M. Z. U. (2011). Speech Enhancement Using Gradient Based Variable Step Size Adaptive Filtering Techniques. International Journal of Computer Science & Emerging Technologies (E-ISSN: 2044-6004), 2(1), 168-177.
Ghasemi, J., Mollaei, M. R. K., Ghaderi, R., & Hojjatoleslami, A. (2011, July). Separation of brain tissues in MRI based on multi-dimensional FCM and spatial information. In Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on (Vol. 1, pp. 247-251). IEEE.
Elsayed, H., El-Khamy, S. E., & Rizk, M. M. (2011, August). Higher order statistics classification of multi-user chirp modulation signals using clustering techniques. In General Assembly and Scientific Symposium, 2011 XXXth URSI (pp. 1-4). IEEE.
Hossain, K. M., Ghosh, D. N., Ghosh, K., & Bhattacharya, A. K. (2011). Multifractality and singularity of 8B solar neutrino flux signals from Sudbury neutrino observatory. Signal Processing, IET, 5(7), 690-700.
Li, Y., Kaur, B., & Andersen, B. (2011). Denial of Service Prevention for 5G. Wireless Personal Communications, 57(3), 365-376.
Ng, K. M., & Khairi, N. M. (2011, November). Decision rules for allophone synthesis of Malay text-to-speech system. In Control System, Computing and Engineering (ICCSCE), 2011 IEEE International Conference on (pp. 109-113).IEEE.
Nallaperuma, S. N., & Karunananda, A. S. (2011, August). Towards an emergent model of emotions. In Industrial and Information Systems (ICIIS), 2011 6th IEEE International Conference on (pp. 364-369). IEEE.
Rupcic, S., Mandric, V., & Zagar, D. (2011). Reduction of sidelobes by nonuniform elements spacing of a spherical antenna array. Radioengineering, 20(1), 299-306.
Patnaik, B., & Sahu, P. K. (2011, February). Long-haul 64-channel 10-Gbps DWDM system design and simulation in presence of optical Kerr's effect. In Proceedings of the 2011 International Conference on Communication, Computing & Security (pp. 62-66). ACM.
Capua, A., Saal, A., Reithmaier, J. P., Yvind, K., & Eisenstein, G. (2011, September). Two photon induced lasing in 1550 nm quantum dash optical gain media. In European Conference and Exposition on Optical Communications (pp. Tu-6). Optical Society of America.
Binti Othman, M., Deng, L., Pang, X., Caminos, J., Kozuch, W., Prince, K., ... & Tafur Monroy, I. (2011, September). Directly-Modulated VCSELs For 2X2 MIMO-OFDM Radio Over Fiber In WDM PON. In European Conference and Exposition on Optical Communications (pp. We-10). Optical Society of America.
Othman, M. B., Deng, L., Pang, X., Caminos, J., Kozuch, W., Prince, K., ... & Monroy, I. T. (2011).MIMO-OFDM WDM PON with DM-VCSEL for femtocells application. Optics express, 19(26), B537-B542.
Saad, E. M., Bardawiny, E. L., Ali, H. I., & Shawky, N. M. (2011). Improving data association based on finding optimum innovation applied to nearest neighbor for multi-target tracking in dense clutter environment. International Journal of Computer Science Issues.
Borkowski, J. (2011). Metody interpolacji widma i metoda LIDFT w estymacji parametr�w sygnalu wieloczestotliwosciowego.Oficyna Wydawnicza Politechniki Wroclawskiej.
Manchikalapudi, S. (2011). Hybrid vector quantizers for low bit rate speech coding applications.
MOHAN, C. A. (2011).A novel channel equalisation technique for mimo�ofdm system and study of wpmcm system a project report submitted (Doctoral dissertation, AMRITA VISHWA VIDYAPEETHAM).
Abo-Zahhad, M., Ahmed, S. M., & Narwaria, R. P., Verma, S., & Singhal, P. K. (2011). Removal of baseline wander and power line interference from ECG signal-a survey approach. International Journal of Electronics Engineering, 3(1).
Abo-Zahhad, M., Ahmed, S. M., & Zakaria, A. (2011). ECG signal compression technique based on discrete wavelet transform and QRS-complex estimation. Signal Processing�An International Journal (SPIJ), 4(2), 138.
Pierre, E., Pascal, N. E., & Emmanuel, T. (2011). Characterization of the Modified Lifting Scheme Compression Method of EMG Signals. Journal of Communication and Computer, 8(11), 1013-1021.
Abo-Zahhad, M. (2011). ECG Signal Compression Using Discrete Wavelet Transform.discrete wavelet transforms ? theory and applications, 143.
Stecker, M. M. (2011).Constrained Signals: A General Theory of Information Content and Detection. Open Signal Processing Journal, 4, 1-18.
Yu, Y., & Zhao, H. (2011, January). A new method for noise power spectrum estimation. In 4th IET International Conference on Wireless, Mobile & Multimedia Networks (ICWMMN 2011).
Ye, J., Kobayashi, T., Higuchi, T., & Otsu, N. (2011). Adaptive abnormality detection on ECG signal by utilizing FLAC features. In Learning and Intelligent Optimization (pp. 218-225). Springer Berlin Heidelberg.
Mohedden, S. K., Zia-Ur-Rahman, M., Krishna, K. M., & Rao, B. R. M. Battle Field Speech Enhancement using an Efficient Unbiased Adaptive Filtering Technique.
Llim�s Muntal, P. (2011). Design and implementation of an interpolation filter for hearing-aid application.
Andreopoulou, A., & Roginska, A. (2011, October). Towards the creation of a standardized HRTF repository. In Audio Engineering Society Convention 131. Audio Engineering Society.
Hugeng, H., Wahab, W., & Gunawan, D. (2011). The Effectiveness of Chosen Partial Anthropometric Measurements in Individualizing Head-Related Transfer Functions on Median Plane. Journal of ICT Research and Applications, 5(1), 35-56.
Madan, D., & Srivastava, H. (2011). Finding faces for Gender classification using BPNN AND PCA based recognition (Doctoral dissertation).
Pilkington, D. (2011). Building a Robust Facial Recognition System Based on Generic Tools.
USLU, G. (2011). Personal identification through face recognition.
Mohamed, M. A., Abou-Elsoud, M. E., & Eid, M. M. (2011). Appearance-Based Automated Face Recognition System: Multi-Input Databases.
Jyoti, D., Chadha, A., Vaidya, P., & Roja, M. M. (2011). A robust, low-cost approach to Face Detection and Face Recognition. arXiv preprint arXiv:1111.1090.
Othman, M., Lei, D., Xiaodan, P., Caminos, J., Kozuch, W., Prince, K., ... & Tafur Monroy, I. (2011). Directly-modulated VCSELs for 2x2 MIMO-OFDM radio over fiber in WDM-PON.
Shermina, J., & Vasudevan, V. (2011). An efficient face recognition system based on the hybridization of invariant pose and illumination process. European Journal of Scientific Research, 64(2), 225-243.
Prasad, M. S. R. S., Panda, S. S., Deepthi, G., & Anisha, V. (2011). Face recognition using PCA and feed forward neural networks. International Journal of Computer Science and Telecommunications, 2(8).
Rahman, S., Naim, S. M., Farooq, A. A., & Islam, M. M. (2011). Performance of PCA based semi-supervised learning in face recognition using MPEG-7 edge histogram descriptor. Journal of Multimedia, 6(5), 404-415.
Su, S. (2011). Asynchronous Signal Processing for Compressive Data Transmission (Doctoral dissertation, University of Pittsburgh).
Prameela, K., Kumar, M. A., Zia-Ur-Rahman, M., & Rao, B. R. M. (2011). Non Stationary Noise Removal from Speech Signals using Variable Step Size Strategy. International Journal of Computer Science & Communication Networks, 1(1).
Lin Zhiqiang, Yao Minli, & Shen Xiao Wei. (2011). Sub-array panel antenna side-lobe level of optimization based on genetic algorithms more [J]. Radio Science, 26 (2), 369-375.
Hazza, A., Shoaib, M., Saleh, A., & Fahd, A. (2011). Robustness of digitally modulated signal features against variation in HF noise model.Eurasip Journal on Wireless Communications and Networking, 2011(1), 1-12.
Aljaafreh, A. (2011). Butter Churning Process Automating Based on Acoustic Signals.
Tiporlini, V., Nguyen, N., & Alameh, K. (2011, December). Adaptive noise canceller for Magnetocardiography. In High Capacity Optical Networks and Enabling Technologies (HONET), 2011 (pp. 359-363). IEEE.
Kumar, D. (2011). Harmony Search Algorithm for Feature Selection in Face Recognition. In Computational Intelligence and Information Technology (pp. 554-559). Springer Berlin Heidelberg.
Said, A. M., Hasbullah, H., & Dahab, A. Y. (2011, May). R-largest order statistics for the prediction of bursts and serious deteriorations in network traffic. In Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on (pp. 579-583). IEEE.
Tiwari, N., & Shandilya, M. (2010). Secure RGB image steganography from pixel indicator to triple algorithm-an incremental growth. International Journal of Security and Its Applications, 4(4), 53-62.
Tiwari, N., & Shandilya, D. M. (2010). Evaluation of Various LSB based Methods of Image Steganography on GIF File Format. International Journal of Computer Applications (0975�8887) Volume.
Wang, F., Bialkowski, M. E., & Liu, X. (2010). Performance of block diagonalization broadcasting scheme for multiuser MIMO system operating in presence of spatial correlation and mutual coupling. Int'l J. of Communications, Network and System Sciences, 3(03), 266.
Disse, D. el Est Spec dio C.
Miao, H. (2010). A multi-operator based simulated annealing approach for robot navigation in uncertain environments. International Journal of Computer Science and Security, 4(1), 50-61.
Rana, R., & Singh, D. (2010). Steganography-Concealing Messages in Images Using LSB Replacement Technique with Pre-Determined Random Pixel and Segmentation of Image. International Journal of Computer Science & CommunicationVol, 1, 113-116.
Mukamia, V. K. (2010).Baseline Wander Estimation for ECG Characterization (Doctoral dissertation,thapar university patiala).
[Afzalian, A., Mollaei, M. R. K., & Ghasemi, J. A Combined Voice Activity Detector Based On Singular Value Decomposition and Fourier Transform. Signal Processing: An International Journal (SPIJ), 4(1), 54.
Ghasemi, J., Afzalian, A., & Mollaei, M. K. (2010). A Combined Voice Activity Detector Based On Singular Value Decomposition and Fourier Transform. Signal Processing, 4(1), 54-61.
Uddin, M. N., & Saha, A. K. (2010). Transmission Performance Analysis of Long-Haul WDM Network Employing Single Mode Fiber, Dispersion Compensating Fiber and Erbium Doped Fiber Amplifier. The AIUB Journal of Science and Engineering.
Chang, C. H., Chang, K. M., & Ko, H. J. (2010, October). Cancellation of high-frequency noise in ECG signals using adaptive filter without external reference. In Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on (Vol. 2, pp. 787-790). IEEE.
Pelican, E., & Grecu, L. (2010, May). Comparison between some matrix methods with applications in pattern recognition. In Applied Linear Algebra Conference, May (pp. 24-28).
Sankar, A. B., Kumar, D., & Seethalakshmi, K. (2010). Performance study of various adaptive filter algorithms for noise cancellation in respiratory signals. Signal Processing: An International Journal (SPIJ), 4(5), 267.
Zakaria, A. (2010). ECG Signal Compression Technique Based on Discrete Wavelet Transform and QRS-Complex Estimation.
Ram, M. S. S., Siddaiah, P., & Latha, M. M. (2010). Switched Multistage vector quantizer. Signal Processing: An International Journal, CSC Journals, 3(6), 172-179.
Afzalian, A., Mollaei, M. R. K., & Ghasemi, J. A Combined Voice Activity Detector Based On Singular Value Decomposition and Fourier Transform. Signal Processing: An International Journal (SPIJ), 4(1), 54.
Ahmadi, N., & Berangi, R. (2010). Symbol Based Modulation Classification using Combination of Fuzzy Clustering and Hierarchical Clustering. Signal Processing�An International Journal (SPIJ), 4(2), 123.
Farsi, H. (2010). Improvement of minimum tracking in minimum statistics noise estimation method. Signal Processing: An International Journal (SPIJ), 4(1), 17.
Dahab, A. Y., Said, A. M., & Hasbullah, H. B. (2010, June). Quality of service metrics using generalized Pareto distribution. In Information Technology (ITSim), 2010 International Symposium in (Vol. 2, pp. 822-825). IEEE.
Messaoud, M. A. B., Bouzid, A., & Ellouze, N. (2010). Autocorrelation of the Speech Multi-Scale Product for Voicing Decision and Pitch Estimation. Cognitive Computation, 2(3), 151-159.
Hugeng, W. W., & Gunawan, D. (2010).A novel individualization of head-related impulse responses on median plane using listener�s anthropometries based on multiple regression analysis. jurnal penelitian dan pengembangan telekomunikasi, 15(1).
Goel, A., Gond, V. J., Sethi, R. K., & Singh, A. K. (2010). Performance Analysis of Continuous wavelength optical Burst switching networks. International Journal of Engineering, 3(6), 609.
Biswal, A. Home� personal� Optimum packet size for a given data rate using UDP (User Datagram Protocol).
Nema, S., Goel, A., & Singh, R. P. (2010). Integrated DWDM and mimo-ofdm system for 4G high capacity mobile communication. Signal Process. Int. J, 3(5), 132-143.
Azam, M. K. S. (2010).Transhumanism: natural language and innovative concepts in communication.
Ghasemi, J., & Mollaei, M. K. (2009). A new approach for speech enhancement based on eigenvalue spectral subtraction. Signal Process. Int. J, 3(4), 34-41.
Pourreza Shahri, R., & Pourreza, H. R. (2009). Offline signature verification using local radon transform and support vector machines. International Journal of Image Processing, 3.
Hossain, K. M., Ghosh, D. N., & Ghosh, K. (2009). Investigating multifractality of solar irradiance data through wavelet based multifractal spectral analysis. Signal Processing: An International Journal (SPIJ), 3(4), 83.
Kaimal, A. M., Anand, R., Prabhu, V., & Premanand, V. Visualization And Performance Evaluation Of DT-CWT Based OFDM System In Linear Algebra Perspective.
Rahman, M. Z. U., Shaik, R. A., & Reddy, D. R. K. (2009). Noise cancellation in ECG signals using computationally simplified adaptive filtering techniques: Application to biotelemetry. Signal Processing: An International Journal (SPIJ), 3(5), 1-12.
Goel, A., & Sharma, A. (2009). Performance Analysis of Mobile Ad-hoc Network Using AODV Protocol. International Journal of Computer Science and Security (IJCSS), 3(5), 334-343.
Khondekar, M. H., Nath, D., & Ghosh, K. (2009). Investigatng MultIfractality of Solar Irradiance Data Through Wavelet Based MultIfractal Spectral Analysis.
Bondarenko, I. Yu, palm, O. Bondarenko, I. Yu, palm, OM, Bondarenko, IU, & Ladoshko, ON (2012). Neural network algorithm for separating tones, noise, and mesopause areas of speech.
Frie�, J. L., Heselich, A., Ritter, S., Layer, P. G., & Thielemann, C. Combined effects of ionizing radiation and cardio-active drugs on human iPSC-derived cardiomyocytes.
Salleh, S. Z., Safri, N. B. M., Ali, S. H. A., & Safri, N. M. (2009). Moving One Dimensional Cursor Using Extracted Parameter. Signal Processing: An International Journal (SPIJ), 3(5), 110-119.
Chen, S., Magani, M., Chen, X., & Parini, C. (2010, March). Exploit adaptive modulation in UWB powerline communication for improved BER performance. In Power Line Communications and Its Applications (ISPLC), 2010 IEEE International Symposium on (pp. 195-200). IEEE.
Magani, M., Guo, L., & Chen, X. (2010, September). Improved BER performance on MB-OFDM UWB system using adaptive bit loading. In Ultra-Wideband (ICUWB), 2010 IEEE International Conference on (Vol. 1, pp. 1-4). IEEE.
Frie�, J., Heselich, A., Ritter, S., Layer, P. G., & Thielemann, C. Effects of X-rays and titanium ions on cardiomyocyte cultures.
Mat Safri, N., Salleh, S. Z., & Ali, S. H. A. (2009). Moving one dimensional cursor using extracted parameter from brain signals. Signal Processing: An International Journal (SPIJ), 3(5), 110-119.

References: V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V.