Echo cancellers for sparse channels

Telephonic communications – Echo cancellation or suppression

Reexamination Certificate

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Reexamination Certificate

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07471788

ABSTRACT:
The present invention is an echo canceller for sparse channels in an echo channel. The echo channel receives a far-end input and a near-end input. An enable generator asserts a sparse update enable in response to detecting at least one of the double talk condition and an impulse response change. A main weight updater transfers shadow weights of the shadow filter to N sets of sparse weights in N sparse filters of the main filter according to the sparse update enable. A sparse main filter filters the far-end input non-adaptively to generate a main output. A long shadow filter filters the far-end input adaptively to generate a shadow output and to estimate delays of peaks of the sparse weights in the main filter.

REFERENCES:
patent: 5699424 (1997-12-01), Hirano
patent: 5857167 (1999-01-01), Gritton et al.
patent: 6028929 (2000-02-01), Laberteaux
patent: 6181794 (2001-01-01), Park et al.
patent: 6718035 (2004-04-01), Younce et al.
patent: 2002/0093919 (2002-07-01), Bershad et al.
patent: 2003/0219113 (2003-11-01), Bershad et al.
patent: 2004/0037417 (2004-02-01), Seibert
Gansler et al, :A Robust Proportionate Affine Projection Algorithm for Network Echo cancellation, 2000. IEEE Int. Conf. on Acoustic, Speech, and Signal Processing (ASSP-'00), vol. 2, Jun. 5-9, 2000, pp. II793-II796.

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