Abstract | ||
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A variable step size normalized sign algorithm (VSS-NSA) is proposed, for acoustic echo cancelation, which adjusts its step size automatically by matching the L1 norm of the a posteriori error to that of the background noise plus near-end signal. Simulation results show that the new algorithm combined with double-talk detection outperforms the dual sign algorithm (DSA) and the normalized triple-state sign algorithm (NTSSA) in terms of convergence rate and stability. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/ICASSP.2010.5495873 | ICASSP |
Keywords | Field | DocType |
double-talk detection,sign algorithm,variable step-size normalized sign algorithm,echo suppression,acoustic noise,robust adaptive filter,convergence rate,convergence,variable step size,acoustic signal processing,dual sign algorithm,posteriori error,echo,acoustic echo cancellation,background noise,normalized triple-state sign algorithm,echo canceler,stability,double talk,near-end signal,adaptive filter,acoustics,robustness,noise measurement,acoustical engineering,steady state,speech | Noise,Convergence (routing),Background noise,Pattern recognition,Noise measurement,A priori and a posteriori,Algorithm,Robustness (computer science),Artificial intelligence,Rate of convergence,Double-talk,Mathematics | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-4296-6 | 978-1-4244-4296-6 | 2 |
PageRank | References | Authors |
0.37 | 3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tiange Shao | 1 | 81 | 3.96 |
Yahong Rosa Zheng | 2 | 885 | 76.15 |
Jacob Benesty | 3 | 1941 | 146.01 |