@inproceedings{126d58471f13432db7a3450b21b89d49,
title = "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.",
keywords = "Audio, Clipping, Inpainting, OMP, Sparsity",
author = "Amir Adler and Valentin Emiya and Jafari, {Maria G.} and Michael Elad and R{\'e}mi Gribonval and Plumbley, {Mark D.}",
year = "2011",
doi = "10.1109/ICASSP.2011.5946407",
language = "الإنجليزيّة",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "329--332",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}