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Volumn 2005, Issue , 2005, Pages 335-339

A statistical convergence analysis of the FastICA algorithm for two-source mixtures

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; SIGNAL INTERFERENCE;

EID: 33847681069     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (8)
  • 2
    • 0346307721 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis
    • Oct
    • A. Hyvärinen and E. Oja, "A fast fixed-point algorithm for independent component analysis," Neural Computation, vol. 9, no. 7, pp. 1483-1492, Oct. 1997.
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1483-1492
    • Hyvärinen, A.1    Oja, E.2
  • 4
    • 0042525811 scopus 로고    scopus 로고
    • Monotonic convergence of fixed-point algorithms for ICA
    • July
    • P.A. Regalia and E. Kofidis, "Monotonic convergence of fixed-point algorithms for ICA," IEEE Trans. Neural Networks, vol. 14, pp. 943-949, July 2003.
    • (2003) IEEE Trans. Neural Networks , vol.14 , pp. 943-949
    • Regalia, P.A.1    Kofidis, E.2
  • 7
    • 0021410050 scopus 로고
    • Learning characteristics of stochastic-gradient- descent algorithms: A general study, analysis, and critique
    • Apr
    • W.A. Gardner, "Learning characteristics of stochastic-gradient- descent algorithms: A general study, analysis, and critique," Signal Processing, vol. 6, no. 2, pp. 113-133 Apr. 1984.
    • (1984) Signal Processing , vol.6 , Issue.2 , pp. 113-133
    • Gardner, W.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.