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Volumn 1, Issue , 2000, Pages 420-423

Unsupervised adaptive separation of impulse signals applied to EEG analysis

Author keywords

[No Author keywords available]

Indexed keywords

HIGHER ORDER STATISTICS; SEPARATION; SIGNAL PROCESSING; ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; MATRIX ALGEBRA; OPTIMIZATION; ORDINARY DIFFERENTIAL EQUATIONS; SPECTRUM ANALYSIS; VECTORS;

EID: 0033708880     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.861997     Document Type: Conference Paper
Times cited : (9)

References (5)
  • 1
    • 0002886684 scopus 로고    scopus 로고
    • Recurrent neural networks for blind separation of sources
    • December 95
    • S. Amari and A. Cichocki and H. Yang. "Recurrent neural networks for blind separation of sources". Proc. Nolta, pages 37-42. December 95.
    • Proc. Nolta , pp. 37-42
    • Amari, S.1    Cichocki, A.2    Yang, H.3
  • 2
    • 0030417779 scopus 로고    scopus 로고
    • Equivariant adaptive source separation
    • December
    • J.-F. Cardoso and B. Laheld. "Equivariant adaptive source separation". IEEE Trans, on S.P., 44: 3017-3030, December 1996.
    • (1996) IEEE Trans, on S.P , vol.44 , pp. 3017-3030
    • Cardoso, J.-F.1    Laheld, B.2
  • 3
    • 85017196061 scopus 로고    scopus 로고
    • Reseaux adaptatifs d'extraction et de separation de sources independantes
    • Orsay
    • Z. Malouche. "Reseaux adaptatifs d'extraction et de separation de sources independantes". These de I'University de Paris XI, Orsay, 1997.
    • (1997) These de I'University de Paris XI
    • Malouche, Z.1
  • 5
    • 85017235442 scopus 로고    scopus 로고
    • Separation auto-Adaptative de sources de kurtosis de signes differents
    • September
    • A. Rouxel, O. Macchi, L. Garnero and D. Le Guennec. "Separation auto-Adaptative de sources de kurtosis de signes differents". GRETSI'99, pages 1129-1132, September 1999.
    • (1999) GRETSI'99 , pp. 1129-1132
    • Rouxel, A.1    Macchi, O.2    Garnero, L.3    Le Guennec, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.