Table of Contents:
  • Introduction: The LMS Filter (Algorithm) / Simon Haykin
  • 1. On the Efficiency of Adaptive Algorithms / Bernard Widrow and Max Kamenetsky
  • 2. Traveling-Wave Model of Long LMS Filters / Hans J. Butterweck
  • 3. Energy Conservation and the Learning Ability of LMS Adaptive Filters / Ali H. Sayed and V.H. Nascimento
  • 4. On the Robustness of LMS Filters / Babak Hassibi
  • 5. Dimension Analysis for Least-Mean-Square Algorithms / Iven M.Y. Mareels, John Homer and Robert R. Bitmead
  • 6. Control of LMS-Type Adaptive Filters / Eberhard Hansler and Gerhard Uwe Schmidt
  • 7. Affine Projection Algorithms / Steven L. Gay
  • 8. Proportionate Adaptation: New Paradigms in Adaptive Filters / Zhe Chen, Simon Haykin and Steven L. Gay
  • 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 C. Principe, Yadunandana N. Rao and Deniz Erdogmus.