Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ACSSC.2013.6810643 | ACSSC |
Keywords | Field | DocType |
gradient-controlled proportionate technique,gc-ipnlms,aec,echo suppression,gain distribution vector,least mean squares methods,adaptive filters,time-averaging gradient estimate,echo,acoustic echo cancellation,gc-ipapa,gc-improved proportionate affine projection algorithm,affine transforms,gc-improved proportionate normalized least mean square algorithm,gradient vector,filter taps,vectors,convergence,speech | Convergence (routing),Magnitude (mathematics),Gradient estimate,Computer science,Electronic engineering,Adaptive filter,Rate of convergence,Affine projection algorithm,Normalized least mean square algorithm | Conference |
ISSN | ISBN | Citations |
1058-6393 | 978-1-4799-2388-5 | 1 |
PageRank | References | Authors |
0.40 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Yang | 1 | 20 | 4.24 |
| Gerald E. Sobelman | 2 | 225 | 44.78 |