Performance of LMS-based adaptive filters in tracking atime-varying plant

  • Authors:
  • B. Farhang-Boroujeny;S. Gazor

  • Affiliations:
  • Dept. of Electr. Eng., Nat. Univ. of Singapore;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1996

Quantified Score

Hi-index 35.68

Visualization

Abstract

The article gives a general analysis of the LMS-based adaptive filters when used for tracking a class of time varying plants. The algorithms covered are the conventional LMS, the transform-domain normalized LMS, and the LMS/Newton algorithm. An important fact that we observe is that in comparing these algorithms, better initial convergence does not necessarily mean better tracking. A few special cases are presented that show the contrary