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Acoustic Echo Control Combined with Two Orthogonalizing Techniques

Authors:
Antweiler, C. ,  Schmitz, A.
Book Title:
Proceedings of European Signal Processing Conference (EUSIPCO)
Organization:
Eurasip
Pages:
p.p. 1748-1751
Address:
Edinburgh, Scotland, Great Britain
Date:
Sep. 1994
Language:
English

Abstract

One of the main problems of echo cancellation techniques - such as the normalized least mean square algorithm (NLMS algorithm) [1] - is that the convergence properties degrade for colored signal input such as speech signals. The introduction of linear prediction filters into the structure of the conventional echo canceller represents one approach to decorrelate the speech signal. Various attempts have been proposed, which achieve an acceleration of convergence speed by this prewhitening technique [2-5]. An alternative algorithm, named excited LMS or ELMS algorithm [6], performs an orthogonalization of the input signal by applying perfect sequences [7] as additional excitation signal, which can provide perfect i.e. maximum speed of convergence. This contribution presents a modified structure of the echo canceller, which combines the ELMS-algorithm with linear prediction techniques. The combination of both algorithms also superposes the improvements achieved for each approach.

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