Description
Book SynopsisFrom 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.
Trade Review"...strongly recommended for researchers working in the field of signal processing and its applications." (
IEEE Circuits & Devices, January/February 2006)
Table of ContentsContributors.
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.
