Subject Code: EC6L004 Name: Advanced Digital Signal Processing L-T-P: 3-1-0 Credit: 4

Power spectrum analysis, filter banks, multirate digital signal processing, higher order statistics, 1D & 2D DFT, properties and applications, short time Fourier transform, spectrograms, discrete cosine transform, discrete Wavelet transform, S-transform
Adaptive filters: Least mean square (LMS) algorithm and its variants, Recursive least square algorithm and its variants, block adaptive filtering; transform domain filtering, adaptive filters as estimator, classifier, forecaster, and equalizer.
Application of adaptive signal processing to telecommunication, instrumentation, power system & control and biomedical engineering.


Prerequisite: None

Texts/Reference Books:
  1. P. Stoica, and R.Moses, 'Spectral Analysis of Signals', Prentice Hall, 2008.
  2. J. G. Proakis, and D.G. Manolakis, 'Digital Signal Processing', Pearson, 2009.
  3. S. Mallat, 'A wavelet tour of signal processing: the sparse way', Academic Press, 2010.
  4. S.O. Haykin, 'Adaptive filter theory', Prentice Hall, 2001.
  5. G.Strang, and T. Nguyen, 'Wavelets and filter banks', Wellesley-Cambridge Press, 1996.
  6. Research publications that will be suggested during the course.