Multipath Matching Pursuit
- Authors
- Kwon, Suhyuk (Seokbeop); Wang, Jian; Shim, Byonghyo
- Issue Date
- 5월-2014
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Compressive sensing (CS); sparse signal recovery; orthogonal matching pursuit; greedy algorithm; restricted isometry property (RIP); Oracle estimator
- Citation
- IEEE TRANSACTIONS ON INFORMATION THEORY, v.60, no.5, pp.2986 - 3001
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON INFORMATION THEORY
- Volume
- 60
- Number
- 5
- Start Page
- 2986
- End Page
- 3001
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/98698
- DOI
- 10.1109/TIT.2014.2310482
- ISSN
- 0018-9448
- Abstract
- In this paper, we propose an algorithm referred to as multipath matching pursuit (MMP) that investigates multiple promising candidates to recover sparse signals from compressed measurements. Our method is inspired by the fact that the problem to find the candidate that minimizes the residual is readily modeled as a combinatoric tree search problem and the greedy search strategy is a good fit for solving this problem. In the empirical results as well as the restricted isometry property-based performance guarantee, we show that the proposed MMP algorithm is effective in reconstructing original sparse signals for both noiseless and noisy scenarios.
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Collections - College of Informatics > Department of Computer Science and Engineering > 1. Journal Articles
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