Title
Stereophonic acoustic echo cancellation: analysis of the misalignment in the frequency domain
Abstract
The performance in terms of misalignment of adaptive algorithms, in general, is dependent on the conditioning of the input signal covariance matrix. The performance of two-channel adaptive algorithms is further degraded by the high interchannel coherence between the two input signals. In this letter, we establish the relationship between interchannel coherence of the two input signals and condition of the corresponding covariance matrix for stereo acoustic echo cancellation application. We show how this relationship affects the misalignment of a frequency-domain adaptive algorithm. We provide simulation results for both white Gaussian noise and speech input to verify our mathematical analysis.
Year
DOI
Venue
2006
10.1109/LSP.2005.860545
IEEE Signal Process. Lett.
Keywords
Field
DocType
Gaussian noise,acoustic signal processing,adaptive signal processing,adjacent channel interference,covariance matrices,echo suppression,frequency-domain analysis,white noise,frequency-domain analysis,interchannel coherence,misalignment analysis,signal covariance matrix,stereophonic acoustic echo cancellation,two-channel adaptive algorithm,white Gaussian noise,Condition number,interchannel coherence,misalignment,stereophonic acoustic echo cancellation
Computer science,White noise,Artificial intelligence,Adaptive filter,Frequency domain,Pattern recognition,Speech recognition,Coherence (physics),Adaptive algorithm,Acoustics,Covariance matrix,Gaussian noise,Additive white Gaussian noise
Journal
Volume
Issue
ISSN
13
1
1070-9908
Citations 
PageRank 
References 
9
0.64
11
Authors
3
Name
Order
Citations
PageRank
A. W. H. Khong110212.58
Jacob Benesty21941146.01
P. A. Naylor3414.60