Multiple Matrix Rank Minimization Approach to Audio Declipping

作者：Sasaki Ryohei^*; Konishi Katsumi; Takahashi Tomohiro; Furukawa Toshihiro

来源：IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2018, E101D(3): 821-825.

DOI：10.1587/transinf.2017EDL8129

• audio declipping
• signal resortoration
• switched AR model
• sparse optimization
• compressed sensing

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.

• 出版日期2018-3