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A Perspective on Stereophonic Acoustic Echo CancellationA Class of Stochastic Adaptive Filters

A Perspective on Stereophonic Acoustic Echo Cancellation: A Class of Stochastic Adaptive Filters [In this chapter, we derive, study, and analyze a class of stochastic adaptive filters for SAEC with the WL model. All developed algorithms try to converge to the optimal Wiener filter. We start with the classical stochastic gradient algorithm, which is a good approximation of the deterministic algorithm studied in the previous chapter.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Perspective on Stereophonic Acoustic Echo CancellationA Class of Stochastic Adaptive Filters

Part of the Springer Topics in Signal Processing Book Series (volume 4)
Benesty, Jacob; Paleologu, Constantin; Gänsler, Tomas; Ciochină, Silviu
Springer Journals — Jan 1, 2011
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19 pages

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Publisher
Springer Berlin Heidelberg
Copyright
© Springer-Verlag GmbH Berlin Heidelberg 2011
ISBN
978-3-642-22573-4
Pages
29 –48
DOI
10.1007/978-3-642-22574-1_4
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we derive, study, and analyze a class of stochastic adaptive filters for SAEC with the WL model. All developed algorithms try to converge to the optimal Wiener filter. We start with the classical stochastic gradient algorithm, which is a good approximation of the deterministic algorithm studied in the previous chapter.]

Published: Jan 1, 2011

Keywords: Impulse Response; Deterministic Algorithm; Basis Pursuit; Room Impulse Response; Stochastic Gradient Algorithm

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