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Multiple Matrix Rank Minimization Approach to Audio Declipping Ryohei SASAKI Katsumi KONISHI Tomohiro TAKAHASHI Toshihiro FURUKAWA Publication IEICE TRANSACTIONS on Information and Systems Vol.E101-D No.3 pp.821-825 Publication Date: 2018/03/01 Publicized: 2017/12/06 Online ISSN: 1745-1361 DOI: 10.1587/transinf.2017EDL8129 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: audio declipping, signal resortoration, switched AR model, sparse optimization, compressed sensing, Full Text: PDF(210.5KB)>>
Summary: 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. | ||||||||||
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