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Volumn V, Issue , 2005, Pages 229-232

Blind separation of generalized hyperbolic processes: Unifying approach to stationary non gaussianity and gaussian non stationarity

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; ESTIMATION; PROBLEM SOLVING; REAL TIME SYSTEMS; SAMPLING;

EID: 33646788450     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416282     Document Type: Conference Paper
Times cited : (2)

References (14)
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    • Snoussi, H.1    Mohammad-Djafari, A.2
  • 5
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    • O. Barndorff-Nielsen and P. Blaesild, "Hyperbolic distributions and ramifications: contribution to theory and application", in C. Taillie, G. Patil and B. Baldessari Eds, Statistical Distributions in Scientific Work, Dordrecht: Reidel, 1981, vol. 4, pp. 19-44.
    • (1981) Statistical Distributions in Scientific Work , vol.4 , pp. 19-44
    • Barndorff-Nielsen, O.1    Blaesild, P.2
  • 9
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    • EM-based maximum likelihood parameter estimation for multivariate generalized hyperbolic distributions with fixed λ
    • R. Protassov, "EM-based maximum likelihood parameter estimation for multivariate generalized hyperbolic distributions with fixed λ", Statistics and Computing, vol. 14, pp. 67-77, 2004.
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    • Protassov, R.1
  • 10
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    • Bayesian estimation of NIG-parameters by markov chain Monte Carlo methods
    • The Norwegian School of Economics and Business Administration
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    • (2001) Tech. Rep. , vol.2001 , Issue.3
    • Lillestol, J.1
  • 11
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    • Bayesian blind separation of generalized hyperbolic processes in noisy and underdeterminate mixtures
    • submitted to December
    • H. Snoussi and J. Idier, "Bayesian Blind Separation of Generalized Hyperbolic Processes in Noisy and Underdeterminate Mixtures", submitted to IEEE Trans. Signal Processing, December 2004.
    • (2004) IEEE Trans. Signal Processing
    • Snoussi, H.1    Idier, J.2
  • 12
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    • Information geometry and prior selection
    • C. Williams, Ed. MaxEnt Workshops, August Amer. Inst. Physics
    • H. Snoussi and A. Mohammad-Djafari, "Information Geometry and Prior Selection", in Bayesian Inference and Maximum Entropy Methods, C. Williams, Ed. MaxEnt Workshops, August 2002, pp. 307-327, Amer. Inst. Physics.
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  • 13
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    • Over-relaxation method for Monte-Carlo evaluation of the partition function for multiquadratic actions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.