Least-Mean-Square Adaptive Filters

Simon Haykin, Bernard Widrow (Herausgeber)

Buch | Hardcover

512 Seiten

2003
Wiley-Interscience (Verlag)
978-0-471-21570-7 (ISBN)

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From elininating outside interference to separate data stream traveling together, filters are used for a range of applications in communications. The Least Mean Square (LMS) filter has established itself as the workhorse for the design of linear adaptive systems. This book deals with this topic.

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.

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.

Erscheint lt. Verlag	19.9.2003
Reihe/Serie	Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Sprache	englisch
Maße	163 x 239 mm
Gewicht	833 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
Themenwelt	Technik ► Elektrotechnik / Energietechnik
ISBN-10	0-471-21570-8 / 0471215708
ISBN-13	978-0-471-21570-7 / 9780471215707
Zustand	Neuware