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Volumn 3195, Issue , 2004, Pages 798-806

A geometric approach for separating several speech signals

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; INDEPENDENT COMPONENT ANALYSIS; SPEECH;

EID: 26044447327     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_101     Document Type: Article
Times cited : (14)

References (6)
  • 1
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • P. Comon, "Independent component analysis, a new concept?," Signal Processing, vol. 36, no. 3, pp. 287-314, 1994.
    • (1994) Signal Processing , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 2
    • 0001969240 scopus 로고
    • A geometrical algorithm for blind separation of sources
    • Juan-Les-Pins, France, Septembre
    • C. Puntonet, A. Mansour, and C. Jutten, "A geometrical algorithm for blind separation of sources," in Actes du XVème Colloque GRETSI 95, Juan-Les-Pins, France, Septembre 1995, pp. 273-276.
    • (1995) Actes du XVème Colloque GRETSI 95 , pp. 273-276
    • Puntonet, C.1    Mansour, A.2    Jutten, C.3
  • 3
    • 0000850647 scopus 로고    scopus 로고
    • Geometric separation of linear mixtures of sources: Application to speech signals
    • Aussois, France, January
    • A. Prieto, B. Prieto, C. G. Puntonet, A. Cañas, and P. Martín-Smith, "Geometric separation of linear mixtures of sources: Application to speech signals," in ICA99, Aussois, France, January 1999, pp. 295-300.
    • (1999) ICA99 , pp. 295-300
    • Prieto, A.1    Prieto, B.2    Puntonet, C.G.3    Cañas, A.4    Martín-Smith, P.5
  • 5
    • 0000957593 scopus 로고
    • Principal component regression in exploratory statistical research,"
    • March
    • W. F. Massy, "Principal component regression in exploratory statistical research," Journal of American Statistical Association, vol. 60, pp. 234-256, March 1965.
    • (1965) Journal of American Statistical Association , vol.60 , pp. 234-256
    • Massy, W.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.