On the separability of nonlinear mixtures of temporally correlated sources

IEEE Signal Processing Letters

Volumn 10, Issue 2, 2003, Pages 43-46

  Hosseini, Shahram ^a,b   Jutten, Christian ^a  

^a GRENOBLE INSTITUTE OF TECHNOLOGY   (France)

^b UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Independent component analysis (ICA); Nonlinear mixtures; Separability; Source separation

Indexed keywords

ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL TRANSFORMATIONS; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES;

DARMOIS DECOMPOSITION; JACOBIAN MATRICES; SOURCE SEPARATION;

NONLINEAR FILTERING;

EID: 0037296681     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2002.807871     Document Type: Article

References (4)

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2. A. Hyvärinen and P. Pajunen, "Nonlinear independent component analysis: Existence and uniqueness results," Neural Networks, vol. 12, no. 3, pp. 429-439, 1999.
3. L. Tong, R. W. Liu, V. C. Soon, and Y. F. Huang, "Indeterminacy and identifiability of blind identification," IEEE Trans. Circuits Syst., vol. 38, pp. 499-509, Apr. 1991.
4. S. Harmeling, A. Ziehe, M. Kawanabe, and K.-R. Müller, "Kernel feature space and nonlinear blind source separation," in Advances in Neural Information Processing Systems, T. G. Dietterich, S. Becker, and Z. Ghahramani, Eds. Cambridge, MA: MIT Press, 2002, vol. 14.