Abstract
In acoustic echo cancellation (AEC), the echo paths are often long, sparse and rapidly changing. In this paper, a new gradient controlled proportionate adaptation technique is proposed for AEC. A time-averaging gradient estimate is assigned as the gain distribution vector to assign individual step sizes so that the filter taps are updated proportionally to the magnitude of the mean of the gradient vector. Based on this new proportionate technique, we propose the gradient-controlled improved proportionate affine projection algorithm (GC-IPAPA), and gradient-controlled improved proportionate normalized least mean square algorithm (GC-IPNLMS). Simulation results demonstrate significant improvements in convergence rate and a more robust performance compared with traditional proportionate algorithms for AEC.
Original language | English (US) |
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Title of host publication | Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers |
Publisher | IEEE Computer Society |
Pages | 1941-1945 |
Number of pages | 5 |
ISBN (Print) | 9781479923908 |
DOIs | |
State | Published - Jan 1 2013 |
Event | 2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 3 2013 → Nov 6 2013 |
Other
Other | 2013 47th Asilomar Conference on Signals, Systems and Computers |
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Country/Territory | United States |
City | Pacific Grove, CA |
Period | 11/3/13 → 11/6/13 |