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Alternative Learning Algorithm for Stereophonic Acoustic Echo Canceller without Pre-Processing

フォーマット:
論文
責任表示:
Hirano, Akihiro ; Nakayama, Kenji ; Someda, Daisuke ; Tanaka, Masahiko
言語:
英語
出版情報:
2004-08-01
著者名:
掲載情報:
IEICE transactions on fundamentals of electronics, communications and computer sciences
ISSN:
0916-8508  CiNii Research  Webcat Plus  JAIRO
巻:
E87-A
通号:
8
開始ページ:
1958
終了ページ:
1964
バージョン:
publisher
概要:
金沢大学大学院自然科学研究科情報システム<br />This paper proposes an alternative learning algorithm for a stereophonic acoustic echo canceller without pre-processing which can identify the correct echo-paths. By dividing the filter coefficients into the former/latter parts and updating them alternatively, conditions both for unique solution and for perfect echo cancellation are satisfied. The learning for each part is switched from one part to the other when that part converges. Convergence analysis clarifies the condition for correct echo-path identification. For fast and stable convergence, a convergence detection and an adaptive step-size are introduced. The modification amount of the filter coefficients determines the convergence state and the step-size. Computer simulations show 10 dB smaller filter coefficient error than those of the conventional algorithms without pre-processing. 続きを見る
URL:
http://hdl.handle.net/2297/5648
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