46. Enhanced-Convergence Normalized LMS Algorithm

  1. Richard G. Lyons
  1. Maurice Givens

Published Online: 11 JUN 2012

DOI: 10.1002/9781118316948.ch46

Streamlining Digital Signal Processing: A Tricks of the Trade Guidebook, Second Edition

Streamlining Digital Signal Processing: A Tricks of the Trade Guidebook, Second Edition

How to Cite

Givens, M. (2012) Enhanced-Convergence Normalized LMS Algorithm, in Streamlining Digital Signal Processing: A Tricks of the Trade Guidebook, Second Edition (ed R. G. Lyons), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118316948.ch46

Editor Information

  1. Besser Associates, Mountain View, California, USA

Author Information

  1. Gas Technology Institute, Des Plaines, Illinois, USA

Publication History

  1. Published Online: 11 JUN 2012
  2. Published Print: 22 JUN 2012

ISBN Information

Print ISBN: 9781118278383

Online ISBN: 9781118316948

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Keywords:

  • enhanced-convergence normalized LMS algorithm, in adaptive filtering;
  • relaxed update gain constraints, improving LMS convergence speed;
  • variable step size with uniform update gain, the NLMS;
  • NLMS convergence speed, update gain greater than accepted maximum

Summary

This chapter contains sections titled:

  • Background

  • Examples

  • References