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Volumn , Issue , 2008, Pages 5141-5144

Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter

Author keywords

Annihilating filter; Compressed sensing; Finite rate of innovation sampling; Sparse signals; Vandermonde matrix

Indexed keywords

ACOUSTICS; COMPUTER NETWORKS; REPAIR; SENSORS; SIGNAL PROCESSING; SIGNAL RECONSTRUCTION; SPEECH; WAVE FILTERS;

EID: 51449103433     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518816     Document Type: Conference Paper
Times cited : (14)

References (7)
  • 2
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • February
    • E. J. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information," IEEE Transactions on Information Theory, vol. 52, pp. 489 - 509, February 2006.
    • (2006) IEEE Transactions on Information Theory , vol.52 , pp. 489-509
    • Candes, E.J.1    Romberg, J.2    Tao, T.3
  • 3
    • 51449111499 scopus 로고    scopus 로고
    • Annihilating filter based decoding in the compressed sensing framework
    • August
    • A. Hormati and M. Vetterli, "Annihilating filter based decoding in the compressed sensing framework," Wavelets XII, August 2007.
    • (2007) Wavelets XII
    • Hormati, A.1    Vetterli, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.