IEICE TRANSACTIONS on Information
Multiple Matrix Rank Minimization Approach to Audio Declipping
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.
- Publication
- IEICE TRANSACTIONS on Information 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
Authors
Ryohei SASAKI
Tokyo University of Science
Katsumi KONISHI
Kogakuin University
Tomohiro TAKAHASHI
Tokyo University of Science
Toshihiro FURUKAWA
Tokyo University of Science
Keyword
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Ryohei SASAKI, Katsumi KONISHI, Tomohiro TAKAHASHI, Toshihiro FURUKAWA, "Multiple Matrix Rank Minimization Approach to Audio Declipping" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 3, pp. 821-825, March 2018, doi: 10.1587/transinf.2017EDL8129.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDL8129/_p
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@ARTICLE{e101-d_3_821,
author={Ryohei SASAKI, Katsumi KONISHI, Tomohiro TAKAHASHI, Toshihiro FURUKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Multiple Matrix Rank Minimization Approach to Audio Declipping},
year={2018},
volume={E101-D},
number={3},
pages={821-825},
abstract={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.},
keywords={},
doi={10.1587/transinf.2017EDL8129},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - Multiple Matrix Rank Minimization Approach to Audio Declipping
T2 - IEICE TRANSACTIONS on Information
SP - 821
EP - 825
AU - Ryohei SASAKI
AU - Katsumi KONISHI
AU - Tomohiro TAKAHASHI
AU - Toshihiro FURUKAWA
PY - 2018
DO - 10.1587/transinf.2017EDL8129
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2018
AB - 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.
ER -
English
