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Acoustic Echo Cancellation Using a Pseudocoherence Function in the Presence of Memoryless Nonlinearity.
- Source :
-
IEEE Transactions on Circuits & Systems. Part I: Regular Papers . Oct2008, Vol. 55 Issue 9, p2639-2649. 11p. 3 Black and White Photographs, 1 Diagram, 3 Charts, 6 Graphs. - Publication Year :
- 2008
-
Abstract
- Acoustic echo cancellation (AEC) is critical for telecommunication applications involving two or more locations such as teleconferencing. It is also challenging because of loud- speaker's nonlinearity, real-time implementation requirement, and multipath effects of indoor environments. This paper addresses the nonlinear AEC problem. We use a Hammerstein model to describe the memoryless nonlinearity of loudspeaker concatenated with a linear room impulse response. We propose a method using a pseudo magnitude squared coherence (MSC) function to identify the nonlinearity in the Hammerstein system and develop an on-line AEC algorithm. Our method identifies nonlinearity without knowing the linear block in the Hammerstein system, which guarantees the stability of the algorithm and leads to a faster convergence rate. Moreover, several alternative criteria based on the MSC function are also proposed for nonlinearity identification. Effectiveness of the proposed algorithms is demonstrated through computer simulations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15498328
- Volume :
- 55
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Circuits & Systems. Part I: Regular Papers
- Publication Type :
- Periodical
- Accession number :
- 35355050
- Full Text :
- https://doi.org/10.1109/TCSI.2008.920114