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A Variable Step-Size Adaptive Cross-Spectral Algorithm for Acoustic Echo Cancellation Xiaojian LU Benoit CHAMPAGNE Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E86-A No.11 pp.2812-2821 Publication Date: 2003/11/01 Online ISSN: DOI: Print ISSN: 0916-8508 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: acoustic echo cancellation (AEC), adaptive cross-spectral (ACS) algorithm, double-talk (DT), variable step-size, initial convergence rate, Full Text: PDF(554.1KB)>>
Summary: The adaptive cross-spectral (ACS) technique recently introduced by Okuno et al. provides an attractive solution to acoustic echo cancellation (AEC) as it does not require double-talk (DT) detection. In this paper, we first introduce a generalized ACS (GACS) technique where a step-size parameter is used to control the magnitude of the incremental correction applied to the coefficient vector of the adaptive filter. Based on the study of the effects of the step-size on the GACS convergence behaviour, a new variable step-size ACS (VSS-ACS) algorithm is proposed, where the value of the step-size is commanded dynamically by a special finite state machine. Furthermore, the proposed algorithm has a new adaptation scheme to improve the initial convergence rate when the network connection is created. Experimental results show that the new VSS-ACS algorithm outperforms the original ACS in terms of a higher acoustic echo attenuation during DT periods and faster convergence rate. | ||||||||||
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