###### Abstract
Papers are solicited from, but not limited to the following topics:  
* Activity recognition, event detection, anomaly detection
* Adaptive filtering and signal processing
* Applications of signal processing (Biomedical, Bioinformatics, Genomic, Seismic, Radar, Sonar, Remote Sensing, Positioning, Embedded Systems, etc.) * Array signal processing
* Audio/speech processing and coding
* Biometrics and authentification
* Biomedical Signal Processing and biomedical data analysis (EEG/MEG, fMRI, PET etc.) * Biological network and data analysis/modelling
* Biosignal processing and understanding
* Blind and semi-blind signal separation (e.g., single- and multi-channel recordings, audio source separation, bio-signal separation, independent component analysis (ICA), nonnegative matrix/tensor factorization (NMF/NTF)
* Brain Computer Interface (BCI)
* Communication signal processing
* Compressive Sensing (CS) and sparse information retrieval
* Computer Vision (CV) and Virtual Reality (VR)
* Computational Neuroscience and brain data analysis/modelling
* Cryptography and network security
* Emerging technologies
* Image processing and understanding
* Image/Video Processing and Coding
* Inference and prediction of hidden patterns in signals/images
* Multimedia signal processing
* Natural Language Processing (NLP)
* Neuroimaging and signal processing
* Signal processing for human-computer interaction (HCI) and Brain Computer Interface (BCI). Furthermore, the journal has a special emphasis on **Tensor Signal Processing** and **Statistical Signal Processing** methodology such as **Bayesian** signal processing, and encourages articles from emerging areas in signal processing which do not find space in other journals of the field. These include:  
* Image and multidimensional signal processing using tensor representation
* Scalable and distributed algorithms for tensor processing
* Methods for robust tensor processing with noisy, incomplete and/or missing signals/data
* Tensor methods in neural networks and deep learning
* Tensor-based time series and image processing
* Tensor processing and analysis in social networks and economics
* Applications of tensor processing in wireless communications and sensor networks
* Tensor developments in computer vision
and
* Stochastic modelling of biological processes, systems biology,* Information theory articles with a signal processing perspective
* Deep learning probabilistic neural networks with signals/data processing perspective
* Financial time series analysis
* Bioinformatics and neuroinfomatics
* Biochemical interaction in biological and biologically-inspired systems
* Signal processing for performance arts using audio, and video
* Signal processing for renewable energy
* Game theory and group theory for signal processing
* Environmental signal processing
* Signal processing with intelligent user interfaces
* Quantum signal processing. Signals analysis and signal processing will continue to play a key role in the development of new technologies and improving the quality of our daily life, especially in smart and intelligent systems, to extract, recognize, detect, classify, extract transmit useful information. We hope that the MDPI open access journal _SIGNALS_ will serve and facilitate these new exciting developments.