Least-Mean-Square Adaptive Filters

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.

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