Adaptive Signal Processing PDF VSSUT | ASP PDF VSSUT

Adaptive Signal Processing PDF VSSUT – ASP PDF VSSUT of Total Complete Notes

Adaptive Signal Processing PDF VSSUT | ASP PDF VSSUT

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

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