Needell, Deanna and Tropp, Joel and Vershynin, Roman (2008) Greedy Signal Recovery Review. In: 2008 42nd Asilomar Conference on Signals, Systems and Computers. IEEE , Piscataway, NJ, pp. 1048-1050. ISBN 978-1-4244-2941-7. https://resolver.caltech.edu/CaltechAUTHORS:20180831-112109709
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Abstract
The two major approaches to sparse recovery are L_1-minimization and greedy methods. Recently, Needell and Vershynin developed regularized orthogonal matching pursuit (ROMP) that has bridged the gap between these two approaches. ROMP is the first stable greedy algorithm providing uniform guarantees. Even more recently, Needell and Tropp developed the stable greedy algorithm compressive sampling matching pursuit (CoSaMP). CoSaMP provides uniform guarantees and improves upon the stability bounds and RIC requirements of ROMP. CoSaMP offers rigorous bounds on computational cost and storage. In many cases, the running time is just O(N log N), where N is the ambient dimension of the signal. This review summarizes these major advances.
| Item Type: | Book Section | |||||||||
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| Additional Information: | © 2008 IEEE. | |||||||||
| DOI: | 10.1109/ACSSC.2008.5074572 | |||||||||
| Record Number: | CaltechAUTHORS:20180831-112109709 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20180831-112109709 | |||||||||
| Official Citation: | D. Needell, J. Tropp and R. Vershynin, "Greedy signal recovery review," 2008 42nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2008, pp. 1048-1050. doi: 10.1109/ACSSC.2008.5074572 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 89330 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | George Porter | |||||||||
| Deposited On: | 04 Sep 2018 15:04 | |||||||||
| Last Modified: | 16 Nov 2021 00:34 |
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