2010年
Proportionate normalized least mean square algorithms based on coefficient difference
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
- ,
- ,
- 巻
- E93-A
- 号
- 5
- 開始ページ
- 972
- 終了ページ
- 975
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1587/transfun.E93.A.972
- 出版者・発行元
- Institute of Electronics, Information and Communication, Engineers, IEICE
The proportionate normalized least mean square algorithm (PNLMS) greatly improves the convergence of the sparse impulse response. It exploits the shape of the impulse response to decide the proportionate step gain for each coefficient. This is not always suitable. Actually, the proportionate step gain should be determined according to the difference between the current estimate of the coefficient and its optimal value. Based on this idea, an approach is proposed to determine the proportionate step gain. The proposed approach can improve the convergence of proportionate adaptive algorithms after a fast initial period. It even behaves well for the non-sparse impulse response. Simulations verify the effectiveness of the proposed approach. Copyright © 2010 The Institute of Electronics, Information and Communication Engineers.
- リンク情報
- ID情報
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- DOI : 10.1587/transfun.E93.A.972
- ISSN : 1745-1337
- ISSN : 0916-8508
- eISSN : 1745-1337
- SCOPUS ID : 77951960494