Least-Mean-Square Adaptive Filters

Author:   Simon Haykin (Department of Electrical and Computer Engineering, McMaster University, ON, Canada) ,  Bernard Widrow (Stanford University, David Packard Electrical Engineering, Stanford, CA, USA)
Publisher:   John Wiley & Sons Inc
ISBN:  

9780471215707


Pages:   512
Publication Date:   19 September 2003
Format:   Hardback
Availability:   Out of stock   Availability explained
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Least-Mean-Square Adaptive Filters


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Overview

Edited by the original inventor of the technology. Includes contributions by the foremost experts in the field. The only book to cover these topics together.

Full Product Details

Author:   Simon Haykin (Department of Electrical and Computer Engineering, McMaster University, ON, Canada) ,  Bernard Widrow (Stanford University, David Packard Electrical Engineering, Stanford, CA, USA)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Interscience
Dimensions:   Width: 16.30cm , Height: 2.80cm , Length: 23.90cm
Weight:   0.833kg
ISBN:  

9780471215707


ISBN 10:   0471215708
Pages:   512
Publication Date:   19 September 2003
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Contributors. Introduction (Simon Haykin). 1. On the Efficiency of Adaptive Algorithms (Berrnard Widrow and Max Kamenetsky). 2. Travelling-Wave Model of Long LMS Filters (Hans Butterweck). 3. Energy Conservation and the Learning Ability of LMS Adaptive Filters (Ali Sayed & Vitor H. Nascimento). 4. On the Robustness of LMS Filters (Babak Hassibi). 5. Dimension Analysis for Least-Mean-Square Algorithms (Iven M.Y. Mareels, et al.). 6. Control of LMS-Type Adaptive Filters (Eberhard Haensler and Gerhard Uwe Schmidt). 7. Affine Projection Algorithms (Steve Gay). 8. Proportionate Adaptation: New Paradigms in Adaptive Filters (Zhe Chen, et al.). 9. Steady-State Dynamic Weight Behavior in (N)LMS Adaptive Filters (A.A. (Louis) Beex and James R. Zeidler). 10. Error Whitening Wiener Filters: Theory and Algorithms (Jose Principe, et al.). Index.

Reviews

"""...strongly recommended for researchers working in the field of signal processing and its applications."" (IEEE Circuits & Devices, January/February 2006)"


...strongly recommended for researchers working in the field of signal processing and its applications. (IEEE Circuits & Devices, January/February 2006)


Author Information

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

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