Title | ||
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A frequency-domain double-talk detector based on a normalized cross-correlation vector |
Abstract | ||
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A key component for hands-free, full-duplex, communication technology is the echo canceler. An echo canceler consists primarily of an adaptive filter and a control device called the double-talk detector. We derive a test statistic based on a normalized cross-correlation vector for the multichannel frequency-domain adaptive algorithm. The advantages of this approach are: low computational complexity, simplicity of implementation, and better performance than the classical Geigel algorithm. |
Year | DOI | Venue |
---|---|---|
2001 | 10.1016/S0165-1684(01)00101-3 | Signal Processing |
Keywords | Field | DocType |
Double-talk detection,Normalized cross-correlation vector | Cross-correlation,Frequency domain,Signal processing,Test statistic,Control theory,Algorithm,Electronic engineering,Adaptive filter,Adaptive algorithm,Detector,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
81 | 8 | 0165-1684 |
Citations | PageRank | References |
20 | 1.09 | 5 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tomas Gänsler | 1 | 101 | 9.60 |
Jacob Benesty | 2 | 1941 | 146.01 |