A new RLS algorithm based on the variation characteristics of a room impulse response

Shoji Makino, Yutaka Kaneda

Research output: Contribution to journalConference articlepeer-review

10 Citations (Scopus)

Abstract

This paper proposes a new adaptive algorithm (called the ES-RLS algorithm) with double the convergence speed of the conventional RLS algorithm. Our previous report showed that the variation of a room impulse response becomes progressively smaller along the series by the same exponential ratio as the impulse response. The ES-RLS algorithm is derived by incorporating these variation characteristics into the conventional RLS algorithm using Kalman filter theory, which gives physical meaning to the RLS algorithm. The ES-RLS algorithm adjusts coefficients with large errors in large steps and coefficients with small errors in small steps. Computer simulations demonstrated that our new adaptive algorithm converged twice as fast as the conventional RLS algorithm.

Original languageEnglish
Article number390012
Pages (from-to)III373-III376
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
DOIs
Publication statusPublished - 1994
Externally publishedYes
EventProceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) - Adelaide, Aust
Duration: 1994 Apr 191994 Apr 22

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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