It is shown how finite impulse response (FIR) filtering and filter adaptation can be implemented with reduced computational complexity when applied to signals containing only low frequencies. A sparse adaptive filter (with only every Mth coefficient being non-zero) with reduced adaptation rate achieves a similar result as a conventional adaptive filter but with lower computational complexity. An echo control scheme based on a sparse adaptive filter is described. Low frequency echoes are cancelled followed by echo suppression over all frequencies.
Authors:
Favrot, Alexis; Faller, Christof
Affiliation:
Illusonic GmbH, Uster, Switzerland
AES Convention:
136 (April 2014)
Paper Number:
9033
Publication Date:
April 25, 2014
Subject:
Signal Processing
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