Title
A frequency-domain double-talk detector based on a normalized cross-correlation vector
Abstract
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 Gänsler11019.60
Jacob Benesty21941146.01