Unervised Adaptive Filtering, Blind Deconvolution

, by Haykin, Simon

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ISBN: 9780471379416 | 0471379417
Cover: Hardcover
Copyright: 4/6/2000

Unervised Adaptive Filtering, Blind Deconvolution > ISBN13: 9780471379416

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Supplemental Materials

* Blind separation of independent sources based on multiuser kurtosis optimization criteria

SIMON HAYKIN, PhD, is University Professor and Director of the Adaptive Systems Laboratory at McMaster University.

Contributors

vii

Preface

Introduction

(12)

Simon Haykin

Why Adaptive Filtering?

(1)

Supervised and Unsupervised Forms of Adaptive Filtering

(1)

Two Importan Unsupervised Signal-Processing Tasks

(3)

Three Fundamental Approaches to Unsupervised Adaptive Filtering

(4)

Organization of Volume II

(3)

References

(2)

The Core of FSE-CMA Behavior Theory

(100)

C. R. Johnson, Jr.

P. Schniter

I. Fijalkow

L. Tong

J. D. Behm

M. G. Larimore

D. R. Brown

R. A. Casas

T. J. Endres

S. Lambotharan

A. Touzni

H. H. Zeng

M. Green

J. R. Treichler

Introduction

(8)

MMSE Equalization and LMS

(19)

The CM Criterion and CMA

(34)

CMA-Adapted-Equalizer Design Issues with Illustrative Examples

(14)

Case Studies

(17)

Conclusions

106

(7)

References

108

(5)

Relationships between Blind Deconvolution and Blind Source Separation

113

(34)

Scott C. Douglas

Simon Haykin

Introduction

113

(4)

Problem Descriptions

117

(5)

Algorithmic Relationships

122

(7)

Structural Relationships

129

(11)

Extensions

140

(2)

Conclusions

142

(5)

References

142

(5)

Blind Separation of Independent Sources Based on Multiuser Kurtosis Optimization Criteria

147

(34)

Constantinos B. Papadias

Introduction

148

(2)

Problem Formulation and Assumptions

150

(4)

Review: The Single-User Equalization Problem

154

(6)

Necessary and Sufficient Conditions for BSS

160

(2)

Unconstrained Criteria: The MU-CM Approach

162

(3)

Constrained Criteria: The MUK Approach

165

(6)

Numerical Examples

171

(4)

Conclusions

175

(6)

References

176

(5)

Index

181

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Unervised Adaptive Filtering, Blind Deconvolution

Summary

Author Biography

Table of Contents

Supplemental Materials