Hybrid LMS-LMF algorithm for adaptive echo cancellation

A. Zerguine, M. Bettayeb, Colin Cowan

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

The coefficients of an echo canceller with a near-end section and a far-end section are usually updated with the same updating scheme, such as the LMS algorithm. A novel scheme is proposed for echo cancellation that is based on the minimisation of two different cost functions, i.e. one for the near-end section and a different one for the far-end section. The approach considered leads to a substantial improvement in performance over the LMS algorithm when it is applied to both sections of the echo canceller. The convergence properties of the algorithm are derived. The proposed scheme is also shown to be robust to noise variations. Simulation results confirm the superior performance of the new algorithm.
Original languageEnglish
Pages (from-to)173-180
Number of pages8
JournalIEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING
Volume146
Issue number4
Publication statusPublished - 1999

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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