Stereo echo cancellation algorithm using adaptive update on the basis of enhanced input-signal vector

Satoru Emura, Youichi Haneda, Akitoshi Kataoka*, Shoji Makino

*この研究の対応する著者

研究成果: Article査読

17 被引用数 (Scopus)

抄録

Stereo echo cancellation requires a fast converging adaptive algorithm because the stereo input signals are highly cross correlated and the convergence rate of the misalignment is slow even after preprocessing for unique identification of stereo echo paths. To speed up the convergence, we propose enhancing the contribution of the decorrelated components in the preprocessed input-signal vector to adaptive updates. The adaptive filter coefficients are updated on the basis of either a single or multiple past enhanced input-signal vectors. For a single-vector update, we show how this enhancement improves the convergence rate by analyzing the behavior of the filter coefficient error in the mean. For a two-past-vector update, simulation showed that the proposed enhancement leads to a faster decrease in misalignment than the corresponding conventional second-order affine projection algorithm while computational complexities are almost the same.

本文言語English
ページ(範囲)1157-1167
ページ数11
ジャーナルSignal Processing
86
6
DOI
出版ステータスPublished - 2006 6月
外部発表はい

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • 信号処理
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

フィンガープリント

「Stereo echo cancellation algorithm using adaptive update on the basis of enhanced input-signal vector」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル