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Volumn , Issue , 2012, Pages 2376-2380

Message-passing algorithms for channel estimation and decoding using approximate inference

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE INFERENCE; BELIEF PROPAGATION; EXPECTATION PROPAGATION; EXPECTATION-MAXIMIZATION ALGORITHMS; GRAPHICAL MODEL; INFERENCE ALGORITHM; INFERENCE PROBLEM; INFORMATION DECODING; ITERATIVE RECEIVERS; MEAN FIELD APPROXIMATION; MESSAGE PASSING ALGORITHM; NUMERICAL EVALUATIONS; PROBABILISTIC MODELS; WIRELESS SCENARIOS;

EID: 84867532365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2012.6283939     Document Type: Conference Paper
Times cited : (33)

References (12)
  • 2
    • 0036648193 scopus 로고    scopus 로고
    • Iterative multiuser joint decoding: Unified framework and asymptotic analysis
    • jul
    • J. Boutros and G. Caire, "Iterative multiuser joint decoding: unified framework and asymptotic analysis," Information Theory, IEEE Transactions on, vol. 48, no. 7, pp. 1772-1793, jul 2002.
    • (2002) Information Theory, IEEE Transactions on , vol.48 , Issue.7 , pp. 1772-1793
    • Boutros, J.1    Caire, G.2
  • 4
    • 0035246564 scopus 로고    scopus 로고
    • Factor graphs and the sum-product algorithm
    • Feb.
    • F. Kschischang, B. Frey, and H.-A. Loeliger, "Factor graphs and the sum-product algorithm," IEEE Trans. Inform. Theory, vol. 47, no. 2, pp. 498-519, Feb. 2001.
    • (2001) IEEE Trans. Inform. Theory , vol.47 , Issue.2 , pp. 498-519
    • Kschischang, F.1    Frey, B.2    Loeliger, H.-A.3
  • 5
    • 38849110321 scopus 로고    scopus 로고
    • The factor graph approach to model-based signal processing
    • Jun.
    • H.-A. Loeliger, J. Dauwels, J. Hu, S. Korl, L. Ping, and F. Kschischang, "The factor graph approach to model-based signal processing," Proc. IEEE, vol. 95, no. 6, pp. 1295-1322, Jun. 2007.
    • (2007) Proc. IEEE , vol.95 , Issue.6 , pp. 1295-1322
    • Loeliger, H.-A.1    Dauwels, J.2    Hu, J.3    Korl, S.4    Ping, L.5    Kschischang, F.6
  • 8
    • 0345978970 scopus 로고    scopus 로고
    • Expectation propagation for approximate bayesian inference
    • T. Minka, "Expectation propagation for approximate bayesian inference," in Proc. 17th Conf. on Uncertainty in AI, 2001, pp. 362-369.
    • Proc. 17th Conf. on Uncertainty in AI, 2001 , pp. 362-369
    • Minka, T.1
  • 10
    • 23744513375 scopus 로고    scopus 로고
    • Constructing free-energy approximations and generalized belief propagation algorithms
    • July
    • J. Yedidia, W. Freeman, and Y. Weiss, "Constructing free-energy approximations and generalized belief propagation algorithms," IEEE Trans. Inform. Theory, vol. 51, no. 7, pp. 2282-2312, July 2005.
    • (2005) IEEE Trans. Inform. Theory , vol.51 , Issue.7 , pp. 2282-2312
    • Yedidia, J.1    Freeman, W.2    Weiss, Y.3
  • 11
    • 84867531096 scopus 로고    scopus 로고
    • Merging belief propagation and the mean field approximation: A free energy approach
    • accepted for publication in arXiv:1112.0467v2[cs.IT]
    • E. Riegler, G. E. Kirkelund, C. N. Manchón, M.-A. Badiu, and B. H. Fleury, "Merging belief propagation and the mean field approximation: A free energy approach," accepted for publication in IEEE Trans. Inform. Theory, 2012, arXiv:1112.0467v2[cs.IT].
    • (2012) IEEE Trans. Inform. Theory
    • Riegler, E.1    Kirkelund, G.E.2    Manchón, C.N.3    Badiu, M.-A.4    Fleury, B.H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.