Regularization of the RLS Algorithm

• BENESTY Jacob

  INRS-EMT, University of Quebec

• PALEOLOGU Constantin

  University Politehnica of Bucharest

• CIOCHINA Silviu

  University Politehnica of Bucharest

Abstract

Regularization plays a fundamental role in adaptive filtering. There are, very likely, many different ways to regularize an adaptive filter. In this letter, we propose one possible way to do it based on a condition that makes intuitively sense. From this condition, we show how to regularize the recursive least-squares (RLS) algorithm.

Journal

• IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E94-A (8), 1628-1629, 2011

  The Institute of Electronics, Information and Communication Engineers

Keywords

• echo cancellation
• adaptive filters
• regularization
• recursive least-squares (RLS) algorithm

Details

• CRID: 1390001206311911680
• NII Article ID: 10030190336
• NII Book ID: AA10826239
• DOI: 10.1587/transfun.e94.a.1628
• ISSN: 17451337
• ISSN: 09168508
• Web Site: http://www.jstage.jst.go.jp/article/transfun/E94.A/8/E94.A_8_1628/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed