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Volumn 43, Issue 10, 1995, Pages 2410-2413

Blind Restoration of Linearly Degraded Discrete Signals by Gibbs Sampling

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DIGITAL FILTERS; ESTIMATION; IMAGE RECONSTRUCTION; MARKOV PROCESSES; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY; SPURIOUS SIGNAL NOISE; STATE SPACE METHODS; WHITE NOISE;

EID: 0029392208     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.469847     Document Type: Article
Times cited : (40)

References (14)
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  • 3
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  • 4
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  • 5
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    • Sampling-based approaches to calculating marginal densities
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  • 6
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    • Giannakis, G.B.1    Mendel, J.M.2
  • 8
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    • Blind equalization using a tricepstrum-based algorithm
    • May
    • D. Hatzinakos and C. L. Nikias, “Blind equalization using a tricepstrum-based algorithm,” IEEE Trans. Commun., vol. 39, no. 5, May 1991.
    • (1991) IEEE Trans. Commun. , vol.39 , Issue.5
    • Hatzinakos, D.1    Nikias, C.L.2
  • 9
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    • Blind identification and deconvolution of linear systems driven by binary random sequences
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    • T. H. Li, “Blind identification and deconvolution of linear systems driven by binary random sequences,” IEEE Trans. Inform. Theory, vol. 38, pp. 26-38, Jan. 1992.
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  • 10
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.