Name
Abstract | ||
|---|---|---|
Spectral domain B-spline identification is proposed for acoustic echo cancellation. Two approaches are considered. The first is based on the solution of normal equations; we describe an efficient technique for such a solution, which benefits from the sparseness of the system matrix due to B-splines. The second approach is based on using local splines, enabling further simplification. We also show how the proposed techniques can be used for efficient double-talk detection. The echo cancellation performance and complexity of the proposed techniques are compared with that of a low-complexity cross-spectral technique and the affine projection (AP) algorithm possessing high cancellation performance. The B-spline identification allows cancellation performance comparable with that of the AP algorithm and complexity close to that of the cross-spectral algorithm. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICASSP.2005.1415659 | ICASSP '05). IEEE International Conference |
Keywords | Field | DocType |
FIR filters,audio signal processing,echo suppression,frequency response,splines (mathematics),acoustic echo cancellation,acoustic frequency response,cubic B-splines,double-talk detection,local splines,spectral domain B-spline identification,system matrix sparseness,time-domain FIR filtering | B-spline,Spline (mathematics),Signal processing,Frequency response,Pattern recognition,Computer science,Filter (signal processing),Affine projection,Artificial intelligence,Finite impulse response,Audio signal processing | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 | 0-7803-8874-7 |
Citations | PageRank | References |
1 | 0.38 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuriy V. Zakharov | 1 | 61 | 5.64 |
| T. C. Tozer | 2 | 204 | 27.92 |