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Volumn 82, Issue 4, 2002, Pages 663-673

Blind separation methods based on Pearson system and its extensions

Author keywords

Blind source separation; Independent component analysis; Method of moments; Pearson system; Score function

Indexed keywords

COMPUTER SIMULATION; INDEPENDENT COMPONENT ANALYSIS; ITERATIVE METHODS; MATHEMATICAL MODELS; METHOD OF MOMENTS;

EID: 0036531349     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(01)00213-4     Document Type: Article
Times cited : (64)

References (23)
  • 4
    • 0033357311 scopus 로고    scopus 로고
    • A stable and robust ICA algorithm based on t-distribution and generalized gaussian distribution models
    • Neural Networks for Signal Processing IX, 1999
    • (1999) The IEEE 1999 Proceedings , pp. 283-292
    • Cao, J.1    Murata, N.2
  • 6
    • 0032187518 scopus 로고    scopus 로고
    • Blind signal separation: Statistical principles
    • (1998) Proc. IEEE , vol.86 , Issue.10 , pp. 2009-2025
    • Cardoso, J.F.1
  • 13
  • 17
    • 0017293527 scopus 로고
    • Pearson's system of frequency curves whose left boundary and first three moments are known
    • (1976) Biometrika , vol.63 , Issue.1 , pp. 191-194
    • Muller, P.-H.1    Vahl, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.