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Fusion of greedy pu...
Fusion of greedy pursuits for compressed sensing signal reconstruction
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- Ambat, Sooraj K. (författare)
- IISc - Indian Institute of Science
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- Chatterjee, Saikat (författare)
- KTH,Kommunikationsteori,ACCESS Linnaeus Centre
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- Hari, K.V.S. (författare)
- IISc - Indian Institute of Science
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(creator_code:org_t)
- IEEE Computer Society, 2012
- 2012
- Engelska.
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Ingår i: 2012 Proceedings Of The 20th European Signal Processing Conference (EUSIPCO). - : IEEE Computer Society. - 9781467310680 ; , s. 1434-1438
- Relaterad länk:
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http://www.eusipco20...
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https://kth.diva-por... (primary) (Raw object)
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Abstract
Ämnesord
Stäng
- Greedy Pursuits are very popular in Compressed Sensing for sparse signal recovery. Though many of the Greedy Pursuits possess elegant theoretical guarantees for performance, it is well known that their performance depends on the statistical distribution of the non-zero elements in the sparse signal. Inpractice, the distribution of the sparse signal may not be knowna priori. It is also observed that performance of Greedy Pursuits degrades as the number of available measurements decreases from a threshold value which is method dependent. To improve the performance in these situations, we introduce a novel fusion framework for Greedy Pursuits and also propose two algorithms for sparse recovery. Through Monte Carlo simulations we show that the proposed schemes improve sparse signal recovery in clean as well as noisy measurement cases.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- compressed sensing
- Sparse Recovery
- Greedy Pursuits
- Fusion
- SRA - ICT
- SRA - Informations- och kommunikationsteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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