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A Constrained Matching Pursuit Approach to Audio Declipping
Abstract : We present a novel sparse representation based approach for the restoration of clipped audio signals. In the proposed approach, the clipped signal is decomposed into overlapping frames and the declipping problem is formulated as an inverse problem, per audio frame. This problem is further solved by a constrained matching pursuit algorithm, that exploits the sign pattern of the clipped samples and their maximal absolute value. Performance evaluation with a collection of music and speech signals demonstrate superior results compared to existing algorithms, over a wide range of clipping levels.
Cited literature [10 references]
https://hal.inria.fr/inria-00557021
Contributor : Valentin Emiya <>
Submitted on : Monday, February 21, 2011 - 9:55:05 AM
Last modification on : Friday, July 10, 2020 - 4:18:20 PM
Long-term archiving on: : Sunday, May 22, 2011 - 2:35:37 AM
Contributor : Valentin Emiya <>
Submitted on : Monday, February 21, 2011 - 9:55:05 AM
Last modification on : Friday, July 10, 2020 - 4:18:20 PM
Long-term archiving on: : Sunday, May 22, 2011 - 2:35:37 AM
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2011-05-22_ICASSP_declipping.h...
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