Mean-square analysis of normalized leaky adaptive filters

Ali H. Sayed, Tareq Al-Naffouri

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

In this paper, we study leaky adaptive algorithms that employ a general scalar or matrix data nonlinearity. We perform mean-square analysis of this class of algorithms without imposing restrictions on the distribution of the input signal. In particular, we derive conditions on the step-size for stability, and provide closed form expressions for the steady-state performance.

Original languageEnglish (US)
Pages (from-to)3873-3876
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume6
DOIs
StatePublished - Jan 1 2001

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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