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Volumn , Issue , 2009, Pages 3365-3368

An approximate L0 norm minimization algorithm for compressed sensing

Author keywords

Compressive sensing; l0 minimization; l1 minimization; Nonconvex optimization; Random matrices

Indexed keywords

COMPRESSIVE SENSING; L0 MINIMIZATION; L1 MINIMIZATION; NONCONVEX OPTIMIZATION; RANDOM MATRICES;

EID: 70349223939     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960346     Document Type: Conference Paper
Times cited : (55)

References (9)
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  • 2
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    • Donoho, D.L.1
  • 6
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    • L0-norm-based sparse representation through alternate projections
    • IEEE
    • L.Mancera and J. Portilla, "L0-norm-based sparse representation through alternate projections," in International Conference on Image Processing. IEEE, 2006, pp. 2089-2092.
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    • Mancera, L.1    Portilla, J.2
  • 8
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    • An affine scaling methodology for best basis selection
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    • Rao, B.D.1    Kreutz-Delgado, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.