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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Paleologu, C. Benesty, J. Grant, S.L. Osterwise, C. |
| Copyright Year | 2009 |
| Description | Author affiliation: Universite du Quebec, Montreal, Canada (Benesty, J.) || Missouri S&T, U.S.A. (Grant, S.L.; Osterwise, C.) || University Politehnica of Bucharest, Romania (Paleologu, C.) |
| Abstract | A major issue in echo cancellation is to recover the near-end signal from the error signal of the adaptive filter. In this paper, we use this requirement in order to design a family of variable step-size normalized least-mean-square (VSS-NLMS) algorithms. The main parameter that is needed within these algorithms is the near-end signal power estimate. Several solutions for this problem are presented and evaluated in terms of different practical aspects (i.e., available parameters, complexity). Due to their specific characteristic, these VSS-NLMS algorithms are equipped with good robustness features against near-end signal variations (e.g., double-talk) and can be reliable candidates for real-world echo cancellation scenarios. |
| Starting Page | 633 |
| Ending Page | 637 |
| File Size | 283589 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424458257 |
| ISSN | 10586393 |
| e-ISBN | 9781424458271 |
| DOI | 10.1109/ACSSC.2009.5469916 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Echo cancellers Adaptive filters Robustness Noise cancellation Background noise Speech enhancement Jacobian matrices Convergence System identification |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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