| HAL-Inria | Publications, software ... of Inria's scientists |
Documents associated with scientific events
Audio Declipping by Cosparse Hard Thresholding
Abstract : Recovery of clipped audio signals is a very challenging inverse problem. Recently, it has been successfully addressed by several methods based on the sparse synthesis data model. In this work we propose an algorithm for enhancement of clipped audio signals that exploits the sparse analysis (cosparse) data model. Experiments on real audio data indicate that the algorithm has better signal restoration performance than state-of-the-art sparse synthesis declipping methods.
Cited literature [7 references]
https://hal.inria.fr/hal-00922497
Contributor : Srdan Kitic <>
Submitted on : Saturday, March 1, 2014 - 12:35:49 PM
Last modification on : Thursday, January 7, 2021 - 4:19:35 PM
Long-term archiving on: : Thursday, May 29, 2014 - 12:55:14 PM
Contributor : Srdan Kitic <>
Submitted on : Saturday, March 1, 2014 - 12:35:49 PM
Last modification on : Thursday, January 7, 2021 - 4:19:35 PM
Long-term archiving on: : Thursday, May 29, 2014 - 12:55:14 PM
Files
CoDecHT.pdf
Files produced by the author(s)