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Multiple Matrix Rank Minimization Approach to Audio Declipping
Ryohei SASAKI Katsumi KONISHI Tomohiro TAKAHASHI Toshihiro FURUKAWA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2018/03/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Speech and Hearing
audio declipping, signal resortoration, switched AR model, sparse optimization, compressed sensing,
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This letter deals with an audio declipping problem and proposes a multiple matrix rank minimization approach. We assume that short-time audio signals satisfy the autoregressive (AR) model and formulate the declipping problem as a multiple matrix rank minimization problem. To solve this problem, an iterative algorithm is provided based on the iterative partial matrix shrinkage (IPMS) algorithm. Numerical examples show its efficiency.