Name
Abstract | ||
|---|---|---|
In acoustic echo cancellation (AEC) applications, where the acoustic echo paths are extremely long, the adaptive filter works most likely in an under-modeling situation. Most of the adaptive algorithms for AEC were derived assuming an exact modeling scenario, so that they do not take into account the under-modeling noise. In this letter, a variable step-size normalized least-mean-square (VSS-NLMS)... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/LSP.2007.910276 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Echo cancellers,Adaptive filters,Signal processing algorithms,Acoustic applications,Adaptive algorithm,Acoustic noise,Working environment noise,Microphones,Convergence,Stability | Normalization (statistics),Pattern recognition,A priori and a posteriori,Algorithm,Adaptive filter,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
15 | 1070-9908 | 35 |
PageRank | References | Authors |
2.35 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Paleologu | 1 | 169 | 9.03 |
| S. Ciochina | 2 | 169 | 9.03 |
| Jacob Benesty | 3 | 1941 | 146.01 |