Adaptive Signal Processing PDF VSSUT – ASP PDF VSSUT of Total Complete Notes
Link: Complete Notes
Module – 1
Multirate Digital Signal Processing
Introduction, Decimation by a factor D, Interpolation by a factor I
Sampling rate conversion by rational factor I/D
Filter Design and Implementation for sampling-rate
Multistage implementation of sampling rate conversion
Sampling rate conversion of Band pass signal
Application of multi rate signal processing: design of phase shifters
Implementation of narrowband lowpass filters
Implementation of Digital filter banks.
Filter Bank and Sub-band Filters and its applications
Link: Module – 1
Module – 2
Linear prediction and Optimum Linear Filters
Innovations Representation of a stationary random process
Forward Linear Prediction, Backward Linear Prediction
Solution of the normal equations
Properties of the linear prediction-error filters
AR lattice- ladder filters, ARMA lattice- ladder filters
Wiener filter for filtering and Prediction: FIR Wiener Filter
Orthogonality Principle in linear mean square estimation.
Link: Module – 2
Module – 3
Power Spectrum Estimation
Estimation of spectra from finite-duration observation of signals
Non parametric method for power spectrum estimation
Bartlett method, Blackman method, Turkey method
parametric method for power estimation
Yuke-Walker method, Burg method
MA model and ARMA model
Link: Module – 3
Module – 4
Adaptive Signal Processing
Introduction to adaptive signal processing
Application of adaptive signal processing: System identification,
Channel equalization, adaptive noise cancellation, adaptive line enhancer
Application of adaptive signal processing: System identification,
Channel equalization, adaptive noise cancellation, adaptive line enhancer
Adaptive linear combiner, Basics of Wiener filtering
Widrow-Hopf Equation, Least mean square algorithm
Recursive least square algorithm
variants of LMS algorithm: FX-LMS, Fast LMS, N-LMS, PN-LMS
Continued… (FX-LMS, Fast LMS, N-LMS, PN-LMS)
Design of Adaptive FIR & IIR filters
Link: Module – 4
Text Book:
1. Digital Signal Processing, Third Edition, J.G. Proakis and D.G. Manolakis, Prentice Hall.
2. Adaptive Signal Processing, B. Widrow and Stern,
Reference Book:
1. Digital Signal Processing, by Sanjit K Mitra, new edition, TMH.
2. Digital Signal Processing, by Salivahanan, new editio