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Low-Complexity Adaptive Filtering Implementation for Acoustic Echo Cancellation
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2006 (English)Conference paper (Refereed) Published
Abstract [en]

Acoustic echo cancellation is generally achieved with adaptive FIR filters. Due to the often large dimensionality of the adaptive filters, required to model rooms with standard reverberation time, the adaptation process can be computationally demanding. This paper presents a block based selective updating method which reduces the complexity with nearly a half in practical situations, while showing superior convergence speed performance as compared to conventional partial update complexity reduction schemes.

Place, publisher, year, edition, pages
Hong Kong: IEEE , 2006.
National Category
Signal Processing
URN: urn:nbn:se:bth-9205ISI: 000246127502078Local ID: diva2:836983
Available from: 2012-09-18 Created: 2007-07-05 Last updated: 2015-06-30Bibliographically approved

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Claesson, Ingvar
Signal Processing

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ReferencesLink to record
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