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Volumn 2, Issue , 2001, Pages 987-992

Competing ICA techniques in biomedical signal analysis

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; BLIND SOURCE SEPARATION; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; FOURIER TRANSFORMS; IMAGE COMPRESSION; NONINVASIVE MEDICAL PROCEDURES; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS;

EID: 0034838681     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (20)
  • 11
    • 0343416807 scopus 로고    scopus 로고
    • The nonlinear PCA learning rule in independent component analysis
    • (1997) Neurocomputing , vol.17 , Issue.1 , pp. 25-45
    • Oja, E.1
  • 14
    • 0344505705 scopus 로고    scopus 로고
    • Independent component analysis in the presence of gaussian noise by maximizing joint likelihood
    • (1998) Neurocomputing , vol.22 , Issue.1-3 , pp. 49-67
    • Hyvärinen, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.