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DSP for MATLAB and LabVIEW. Volume IV, LMS adaptive filtering

This book is Volume IV of the series DSP for MATLAB and LabVIEW. Volume IV is an introductory treatment of LMS Adaptive Filtering and applications, and covers cost functions, performance surfaces, coefficient perturbation to estimate the gradient, the LMS algorithm, response of the LMS algorithm to...

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Bibliographic Details
Main Author: Isen, Forester W. 1949-
Format: Electronic
Language:English
Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2009.
Series:Synthesis lectures on signal processing (Online) ; # 7.
Subjects:
MATLAB.
LabVIEW.
Signal processing > Digital techniques.
Adaptive filters.
Online Access:View fulltext via EzAccess
Table of Contents:
  • Introduction to LMS adaptive filtering
  • Overview
  • In previous volumes
  • In this volume
  • In this chapter
  • Software for use with this book
  • Cost function
  • Performance surface
  • Coefficient perturbation
  • Method of steepest descent
  • Two variable performance surface
  • An improved gradient search method
  • LMS used in an FIR
  • Typical arrangements
  • Derivation
  • Limitation on Mu
  • NLMS algorithm
  • Contrast-true MSE
  • LMS adaptive FIR summary
  • References
  • Exercises
  • Applied adaptive filtering
  • Overview
  • Active noise cancellation
  • System modeling
  • Echo cancellation
  • Single-H
  • Dual-H
  • Sparse computation
  • Periodic component elimination or enhancement
  • Interference cancellation
  • Equalization/deconvolution
  • Deconvolution of a reverberative signal
  • Simulation
  • Spectral effect of reverberation
  • Estimating delay
  • Estimating decay rate
  • Deconvolution
  • References
  • Exercises
  • Software for use with this book
  • File types and naming conventions
  • Downloading the software
  • Using the software
  • Single-line function calls
  • Multi-line M-code examples
  • How to successfully copy-and-paste M-code
  • Learning to use M-code
  • What you need with MATLAB and LabVIEW
  • Vector/matrix operations in M-code
  • Row and column vectors
  • Vector products
  • Inner product
  • Outer product
  • Product of corresponding values
  • Matrix multiplied by a vector or matrix
  • Matrix inverse and pseudo-inverse
  • Biography.

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