MTech Advanced Digital Signal Processing syllabus for 1 Sem 2018 scheme 18ECS12

Module-1 Module -1 10 hours

Multirate Digital Signal Processing:

Introduction, decimation by a factor 'D', Interpolation by a factor 'I', sampling rate conversion by a factor 'I/D', Implementation of sampling rate conversion, Multistage implementation of sampling rate conversion, Applications of multirate signal processing, Digital filter banks, two channel quadrature mirror filter banks, Mchannel QMF bank.

Module-2 Module -2 10 hours

Linear prediction and Optimum Linear Filters:

Random signals, Correlation Functions and Power Spectra, Innovations Representation of a Stationary Random Process. Forward and Backward Linear Prediction. Solution of the Normal Equations. The Levinson-Durbin Algorithm. Properties of the Linear Prediction-Error Filters.

A d v e r t i s e m e n t
Module-3 Module -3 10 hours

Adaptive filters:

Applications of Adaptive Filters-Adaptive Channel Equalization, Adaptive noise cancellation, Linear Predictive coding of Speech Signals, Adaptive direct form FIR filters-The LMS algorithm, Properties of LMS algorithm. Adaptive direct form filters- RLS algorithm.

Module-4 Module -4 10 hours

Power Spectrum Estimation:

Non parametric Methods for Power Spectrum Estimation - Bartlett Method, Welch Method, Blackman and Tukey Methods.

 

Parametric Methods for Power Spectrum Estimation:

Relationship between the auto correlation and the model parameters, Yule and Walker methods for the AR Model Parameters, Burg Method for the AR Model parameters, Unconstrained least-squares method for the AR Model parameters, Sequential estimation methods for the AR Model parameters, ARMA Model for Power Spectrum Estimation.

Module-5 Module -5 10 hours

WAVELET TRANSFORMS:

The Age of Wavelets, The origin of Wavelets, Wavelets and other reality transforms, History of wavelets, Wavelets of the future.

 

Continuous Wavelet and Short Time Fourier Transform:

Wavelet Transform, Mathematical preliminaries, Properties of wavelets. Discrete Wavelet Transform: Haar scaling functions, Haar wavelet function, Daubechies Wavelets.