A robust NLMS algorithm for acoustic echo cancellation
When an adaptive filter is applied for an acoustic echo canceler, realization of robustness in the presence of double talk is an important subject. In this paper, based on M‐estimation, a robust statistical technique, a cost function expressing the normalized least‐mean‐square algorithm (NLMS), is m...
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          | Published in | Electronics & communications in Japan. Part 3, Fundamental electronic science Vol. 89; no. 11; pp. 1 - 9 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Hoboken
          Wiley Subscription Services, Inc., A Wiley Company
    
        01.11.2006
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 1042-0967 1520-6440  | 
| DOI | 10.1002/ecjc.20223 | 
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| Summary: | When an adaptive filter is applied for an acoustic echo canceler, realization of robustness in the presence of double talk is an important subject. In this paper, based on M‐estimation, a robust statistical technique, a cost function expressing the normalized least‐mean‐square algorithm (NLMS), is modified to derive the gradient‐limited NLMS (GL‐NLMS) algorithm. This technique makes use of the statistical characteristic that the ratio of the error and reference signal levels has different distributions during single talk and double talk. The gradient used for updating in the NLMS algorithm is limited to a nonlinear form, so high robustness against double talk is achieved. © 2006 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 89(11): 1–9, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20223 | 
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| Bibliography: | istex:5FAE2F21F7A950E7BF6AC9E3615BEB61B5D010BF ark:/67375/WNG-L1916B1G-6 ArticleID:ECJC20223  | 
| ISSN: | 1042-0967 1520-6440  | 
| DOI: | 10.1002/ecjc.20223 |