MTEC-104A	Advanced Digital Signal Processing
Lecture	Tutorial	Practical	Credit	Major Test	Minor Test	Total	Time
3	0	0	3	60	40	100	3 Hrs.
Course Outcomes (CO)
CO1	To understand theory of different filters and algorithms
CO2	To understand theory of multirate DSP, solve numerical problems and write algorithms
CO3	To understand theory of prediction and solution of normal equations
CO4	To know applications of DSP at block level.

Unit-1 Review of Filter concepts - Review of design techniques and structures for FIR and IIR filters, representation of Review of Filter concepts - Review of design techniques and structures for FIR and IIR filters, representation of numbers, quantization of filter coefficients, round-off effects in digital filters.

Unit-2 Multirate Digital Signal Processing: Introduction, Decimation by a factor D, Interpolation by a factor I, sampling Multirate Digital Signal Processing: Introduction, Decimation by a factor D, Interpolation by a factor I, sampling rate conversion by rational factor I/D, implementation of sampling rate conversion, multistage implementation of sampling rate conversion, sampling rate conversion of band pass signals, sampling rate conversion by an arbitrary factor, application of Multirate signal processing, digital filter bank, two-channel quadrature-mirror filter bank, M-channel QMF bank.

Unit-3 Wavelet Transform: Introduction to wavelet transform- Short Time Fourier Transform (STFT), Wavelet Wavelet Transform: Introduction to wavelet transform- Short Time Fourier Transform (STFT), Wavelet transform, Haar wavelet and Multirate resolution analysis, Daubechies wavelet, some other standard wavelets, applications of wavelet transform.

Unit-4 Power Spectrum Estimation: Estimation of spectra from finite-duration observation of signals, non-parametric Power Spectrum Estimation: Estimation of spectra from finite-duration observation of signals, non-parametric methods for power spectrum estimation, parametric methods for power spectrum estimation, filter bank methods, Eigen analysis algorithms for spectrum estimation.

## Text Books:

- 1. Digital Signal Processing : Principles, Algorithms, and Applications, 4/e, Authors : John G. Proakis Dimitris G Manolakis Imprint : Pearson Education
- 2. Digital Signal Processing, Authors, Oppenheim, Alan V, Schafer, Ronald W., PHI

## Reference Books:

###### 1. Advanced Digital Signal Processing, Authors: Dr. Shaila D. Apte, Imprint: Wiley

- 2. Digital Signal Processing, 3/e, Authors: S.K.Mitra, Imprint : McGraw Hill
- 3. Digital Signal Processing and Applications with the TMS 320C6713 and TMS 320C6416 DSK, 2/e,Authors: Rulph Chassaing,Donald Reay, Imprint : Wiley
- 4. Digital Signal Processing, Authors: Tarun Kumar Rawat, Imprint: Oxford
- 5. Digital Signal Processing, Spectral Computation and Filter Design, Authors:CHI-Tsong Chen, Indian Edition, Imprint: Oxford
- 6. Theory and Applications of Digital Signal Processing,Authors: Lawrence R. Rabiner, Bernard Gold,Imprint:Prentice- Hall

###### 7. Digital Signal Processing, Authors:Thomas J. Cavicchi, Imprint: Wiley

- 8. Modern Digital Signal Processing,Authors:V.Udayshankar,Imprint:PHI
- 9. Digital Signal Processing using MAT and Wavelets,2/e,Authors:Michael Weeks,Imprint: Jones & Bartlett Publishers.