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Volumn 2005, Issue , 2005, Pages 165-168

A statistically sparse decomposition principle for underdetermined blind source separation

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION SYSTEMS; SIGNAL PROCESSING; SPEECH SYNTHESIS; STATISTICAL METHODS;

EID: 33847216940     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (14)
  • 3
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • P. Comon, "Independent component analysis, a new concept?" Signal Process, vol. 36, pp. 287-314, 1994.
    • (1994) Signal Process , vol.36 , pp. 287-314
    • Comon, P.1
  • 4
    • 0035501128 scopus 로고    scopus 로고
    • Underdetermined blind source separation using sparse representations
    • P. Bofill, M. Zibulevsky, Underdetermined blind source separation using sparse representations. Signal Processing. Vol.81, 2353-2362, 2001
    • (2001) Signal Processing , vol.81 , pp. 2353-2362
    • Bofill, P.1    Zibulevsky, M.2
  • 5
    • 2442473143 scopus 로고    scopus 로고
    • Analysis of sparse representation and blind source separation
    • Y. Q. Li, C. Andrzej, S. Amari. Analysis of sparse representation and blind source separation. Neural Computation. Vol.16, 1193-1234, 2004
    • (2004) Neural Computation , vol.16 , pp. 1193-1234
    • Li, Y.Q.1    Andrzej, C.2    Amari, S.3
  • 6
    • 0742306442 scopus 로고    scopus 로고
    • A geometric algorithm for overcomplete linear ICA
    • F. J. Theis, W. E. Lang, C. G. Puntonet, A geometric algorithm for overcomplete linear ICA. Neurocomputing. Vol.56, 381-398, 2004
    • (2004) Neurocomputing , vol.56 , pp. 381-398
    • Theis, F.J.1    Lang, W.E.2    Puntonet, C.G.3
  • 7
    • 24944503593 scopus 로고    scopus 로고
    • M. Xiao, S. L. Xie, Y. L. Fu. A novel approach for underdetermined blind source in the frequency domain. ISNN 2005, LNCS 3497, pp.484-489
    • M. Xiao, S. L. Xie, Y. L. Fu. A novel approach for underdetermined blind source in the frequency domain. ISNN 2005, LNCS 3497, pp.484-489
  • 9
    • 33847230761 scopus 로고    scopus 로고
    • A Novel Approach of Estimating Mixing Matrix in Underdetermined Blind Source Separation using wavelet coefficients
    • M. Xiao, S. L. Xie, Y. L. Fu. A Novel Approach of Estimating Mixing Matrix in Underdetermined Blind Source Separation using wavelet coefficients. Has been submitted to ISPACS 2005.
    • (2005) Has been submitted to ISPACS
    • Xiao, M.1    Xie, S.L.2    Fu, Y.L.3
  • 10
    • 33847180731 scopus 로고    scopus 로고
    • A novel approach for Underdetermined Blind speech signal Separation
    • M. Xiao, S. L. Xie, Y. L. Fu. A novel approach for Underdetermined Blind speech signal Separation. Has been accepted to ICIDAS 2005.
    • (2005) Has been accepted to ICIDAS
    • Xiao, M.1    Xie, S.L.2    Fu, Y.L.3
  • 11
    • 0037418225 scopus 로고    scopus 로고
    • Maximal sparsity representation via 11 minimization
    • D. L. Donoho and M. Elad, Maximal sparsity representation via 11 minimization. Proc. Nat. Aca. Sci., 100, 2197-2202, 2003
    • (2003) Proc. Nat. Aca. Sci , vol.100 , pp. 2197-2202
    • Donoho, D.L.1    Elad, M.2
  • 12
    • 1542333710 scopus 로고    scopus 로고
    • Perfoamance analysis of minimum 11-norm solution for underdetermined source separation
    • I. Takigawa, M. Kudo, and J. Toyama, Perfoamance analysis of minimum 11-norm solution for underdetermined source separation, IEEE Trans on Signal Processing, vol. 52 (3), 2004, pp, 582-591
    • (2004) IEEE Trans on Signal Processing , vol.52 , Issue.3 , pp. 582-591
    • Takigawa, I.1    Kudo, M.2    Toyama, J.3
  • 14
    • 33847194423 scopus 로고    scopus 로고
    • M. Zibulevsky, B. A. Pearlmutter, P. Boll, and P. Kisilev, Blind source separation by sparse decomposition in a signal dictionary. In S. J. Roberts, and R. M. Everson, Eds, Independent component analysis: Principles and practice. Cambridge: Cambridge University Press
    • M. Zibulevsky, B. A. Pearlmutter, P. Boll, and P. Kisilev, Blind source separation by sparse decomposition in a signal dictionary. In S. J. Roberts, and R. M. Everson, (Eds.), Independent component analysis: Principles and practice. Cambridge: Cambridge University Press.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.