This book is Volume IV of the series DSP for MATLABв„ў and LabVIEWв„ў. 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 narrow-band signals, and various topologies such as ANC (Active Noise Cancelling) or system modeling, Noise Cancellation, Interference Cancellation, Echo Cancellation (with single- and dual-H topologies), and Inverse Filtering/Deconvolution. The entire series consists of four volumes that collectively cover basic digital signal processing in a practical and accessible manner, but which nonetheless include all essential foundation mathematics. As the series title implies, the scripts (of which there are more than 200) described in the text and supplied in code form (available via the internet at www.morganclaypool.com/page/isen) will run on both MATLABв„ў and LabVIEWв„ў. Table of Contents: Introduction To LMS Adaptive Filtering / Applied Adaptive Filtering
Author(s): Forester W. Isen
Series: Synthesis Lectures on Signal Processing
Publisher: Morgan and Claypool Publishers
Year: 2009
Language: English
Commentary: 49981
Pages: 127
Synthesis Lectures on Signal Processing......Page 3
Contents......Page 11
The Four Volumes of the Series......Page 15
Origin and Evolution of the Series......Page 16
In this Chapter......Page 19
Cost Function......Page 20
Coefficient Perturbation......Page 23
Method of Steepest Descent......Page 25
Two Variable Performance Surface......Page 32
An Improved Gradient Search Method......Page 37
Typical Arrangements......Page 38
Derivation......Page 39
Limitation on Mu......Page 42
NLMS Algorithm......Page 43
Contrast-True MSE......Page 52
LMS Adaptive FIR Summary......Page 55
Exercises......Page 57
Overview......Page 67
Active Noise Cancellation......Page 68
System Modeling......Page 69
Echo Cancellation......Page 72
Single-H......Page 75
Dual-H......Page 76
Sparse Computation......Page 78
Periodic Component Elimination or Enhancement......Page 79
Interference Cancellation......Page 83
Equalization/Deconvolution......Page 87
Simulation......Page 92
Spectral Effect of Reverberation......Page 94
Estimating Delay......Page 96
Estimating DecayRate......Page 97
Deconvolution......Page 98
References......Page 99
Exercises......Page 100
File Types and Naming Conventions......Page 117
Single-line function calls......Page 118
Multi-line m-code examples......Page 119
How to Successfully Copy-and-Paste M-code......Page 120
What You Need with MATLAB and LabVIEW......Page 121
Inner Product......Page 123
Matrix Multiplied by a Vector or Matrix......Page 124
Matrix Inverse and Pseudo-Inverse......Page 125
Biography......Page 127
