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- Title
Matrix Completion and Its Application in Signal Processing.
- Authors
ZHAO Yu-juan; ZHENG Bao-yu; CHEN Shou-ning
- Abstract
This paper describes the background of matrix completion firstly, points out the mathematics model of matrix completion, analyzes the low rank property and the incoherence property in matrix completion. Mainly introduces three reconstruction algorithm commonly used in matrix completion: SVT (Singular Value Thresholding), ADMiRA (Atomic Decomposition for Minimum Rank Approximation) and SVP (Singular Value Projection), compares their reconstruction performance in this paper. Secondly, we analyze the connection between matrix completion and compressed sensing. Finally we introduce the application of matrix completion in collaborative filtering, system identification, sensor network, image processing, sparse channel estimation, spectrum sensing and multimedia coding and communication.
- Subjects
SIGNAL processing; SINGULAR value decomposition; MATHEMATICAL models; IMAGE reconstruction; PERFORMANCE evaluation; COMPRESSED sensing
- Publication
Journal of Signal Processing, 2015, Vol 31, Issue 4, p423
- ISSN
1003-0530
- Publication type
Article