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Volumn 2015-June, Issue , 2015, Pages 2016-2020

Capacity-achieving Sparse Regression Codes via approximate message passing decoding

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL CAPACITY; CODES (SYMBOLS); DECODING; INFORMATION THEORY; WHITE NOISE;

EID: 84969835557     PISSN: 21578095     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2015.7282809     Document Type: Conference Paper
Times cited : (31)

References (16)
  • 1
    • 84893235559 scopus 로고    scopus 로고
    • Fast sparse superposition codes have near exponential error probability for R < C
    • Feb.
    • A. Joseph and A. R. Barron, "Fast sparse superposition codes have near exponential error probability for R < C, " IEEE Trans. Inf. Theory, vol. 60, pp. 919-942, Feb. 2014.
    • (2014) IEEE Trans. Inf. Theory , vol.60 , pp. 919-942
    • Joseph, A.1    Barron, A.R.2
  • 2
    • 84867548964 scopus 로고    scopus 로고
    • High-rate sparse superposition codes with iteratively optimal estimates
    • A. R. Barron and S. Cho, "High-rate sparse superposition codes with iteratively optimal estimates, " in ISIT, 2012.
    • (2012) ISIT
    • Barron, A.R.1    Cho, S.2
  • 6
    • 79251496987 scopus 로고    scopus 로고
    • The dynamics of message passing on dense graphs, with applications to compressed sensing
    • M. Bayati and A. Montanari, "The dynamics of message passing on dense graphs, with applications to compressed sensing, " IEEE Trans. Inf. Theory, pp. 764-785, 2011.
    • (2011) IEEE Trans. Inf. Theory , pp. 764-785
    • Bayati, M.1    Montanari, A.2
  • 7
    • 84938523795 scopus 로고    scopus 로고
    • Graphical models concepts in compressed sensing
    • Y. C. Eldar and G. Kutyniok, eds. Cambridge University Press
    • A. Montanari, "Graphical models concepts in compressed sensing, " in Compressed Sensing (Y. C. Eldar and G. Kutyniok, eds.), pp. 394-438, Cambridge University Press, 2012.
    • (2012) Compressed Sensing , pp. 394-438
    • Montanari, A.1
  • 9
    • 80054799706 scopus 로고    scopus 로고
    • Generalized approximate message passing for estimation with random linear mixing
    • S. Rangan, "Generalized approximate message passing for estimation with random linear mixing, " in ISIT, pp. 2168-2172, 2011.
    • (2011) ISIT , pp. 2168-2172
    • Rangan, S.1
  • 11
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • Dec.
    • E. Candes and T. Tao, "Decoding by linear programming, " IEEE Trans. Inf. Theory, vol. 51, pp. 4203-4215, Dec. 2005.
    • (2005) IEEE Trans. Inf. Theory , vol.51 , pp. 4203-4215
    • Candes, E.1    Tao, T.2
  • 12
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • April
    • D. Donoho, "Compressed sensing, " IEEE Trans. Inf. Theory, vol. 52, pp. 1289-1306, April 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , pp. 1289-1306
    • Donoho, D.1
  • 13
    • 84969891693 scopus 로고    scopus 로고
    • State evolution for general approximate message passing algorithms, with applications to spatial coupling
    • A. Javanmard and A. Montanari, "State evolution for general approximate message passing algorithms, with applications to spatial coupling, " Information and Inference, p. iat004, 2013.
    • (2013) Information and Inference , pp. iat004
    • Javanmard, A.1    Montanari, A.2
  • 14
    • 84906545060 scopus 로고    scopus 로고
    • Replica analysis and approximate message passing decoder for sparse superposition codes
    • J. Barbier and F. Krzakala, "Replica analysis and approximate message passing decoder for sparse superposition codes, " in ISIT, 2014.
    • (2014) ISIT
    • Barbier, J.1    Krzakala, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.