Partial-Update Adaptive Signal Processing

1st Edition

Design Analysis and Implementation

Authors: Kutluyil Dogancay
Hardcover ISBN: 9780123741967
eBook ISBN: 9780080921150
Imprint: Academic Press
Published Date: 20th September 2008
Page Count: 296
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Description

Partial-update adaptive signal processing algorithms not only permit significant complexity reduction in adaptive filter implementations, but can also improve adaptive filter performance in telecommunications applications. This book gives state-of-the-art methods for the design and development of partial-update adaptive signal processing algorithms for use in systems development.

Partial-Update Adaptive Signal Processing provides a comprehensive coverage of key partial updating schemes, giving detailed information on the theory and applications of acoustic and network echo cancellation, channel equalization and multiuser detection. It also examines convergence and stability issues for partial update algorithms, providing detailed complexity analysis and a unifying treatment of partial-update techniques.

Features:

Advanced analysis and design tools Application examples illustrating the use of partial-update adaptive signal processing MATLAB codes for developed algorithms

This unique reference will be of interest to signal processing and communications engineers, researchers, R&D engineers and graduate students.

"This is a very systematic and methodical treatment of an adaptive signal processing topic, of particular significance in power limited applications such as in wireless communication systems and smart ad hoc sensor networks. I am very happy to have this book on my shelf, not to gather dust, but to be consulted and used in my own research and teaching activities" – Professor A. G. Constantinides, Imperial College, London

About the author:

Kutluyil Dogançay is an associate professor of Electrical Engineering at the University of South Australia. His research interests span statistical and adaptive signal proce

Key Features

  • Advanced analysis and design tools
  • Algorithm summaries in tabular format
  • Case studies illustrate the application of partial update adaptive signal processing
  • MATLAB code listings on an accompanying website

Readership

Signal processing systems engineers,R&D engineers,university applied researchers and postgraduate students.

Table of Contents

TABLE OF CONTENTS

  1. Introduction 1.1 Adaptive Signal Processing 1.2 Examples of Adaptive Filtering 1.2.1 Adaptive System Identification 1.2.2 Adaptive Inverse System Identification 1.3 Raison D'etre for Partial Coefficient Updates 1.3.1 Resource Constraints 1.3.2 Convergence Performance 1.3.3 System Identification with White Input Signal 1.3.4 System Identification with Correlated Input Signal

  2. Approaches to Partial Coefficient Updates 2.1 Introduction 2.2 Periodic Partial Updates 2.2.1 Example 1: Convergence Performance 2.2.2 Example 2: Convergence Difficulties 2.3 Sequential Partial Updates 2.3.1 Example 1: Convergence Performance 2.3.2 Example 2: Cyclostationary Inputs 2.3.3 Example 3: Instability 2.4 Stochastic Partial Updates 2.4.1 System Identification Example 2.5 M-Max Updates 2.5.1 Example 1: Eigenvalue Spread of R_M 2.5.2 Example 2: Convergence Performance 2.5.3 Example 3: Convergence Rate and Eigenvalues of R_M 2.5.4 Example 4: Convergence Difficulties 2.5.5 Example 5: Instability 2.6 Selective Partial Updates 2.6.1 Constrained Optimization 2.6.2 Instantaneous Approximation of Newton's Method 2.6.3 q-Norm Constrained Optimization 2.6.4 Averaged System 2.6.5 Example 1: Eigenanalysis 2.6.6 Example 2: Convergence Performance 2.6.7 Example 3: Instability 2.7 Set Membership Partial Updates 2.7.1 Example 1: Convergence Performance 2.7.2 Example 2: Instability 2.8 Block Partial Updates<BR id="CRLF"

Details

No. of pages:
296
Language:
English
Copyright:
© Academic Press 2009
Published:
Imprint:
Academic Press
eBook ISBN:
9780080921150
Hardcover ISBN:
9780123741967

About the Author

Kutluyil Dogancay

Affiliations and Expertise

University of South Australia

Reviews

"This is a very systematic and methodical treatment of an adaptive signal processing topic, of particular significance in power limited applications such as in wireless communication systems and smart ad hoc sensor networks. I am very happy to have this book on my shelf, not to gather dust, but to be consulted and used in my own research and teaching activities" – Professor A. G. Constantinides, Imperial College, London