Complex infomax: Convergence and approximation of infomax with complex nonlinearities

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2002-January, Issue , 2002, Pages 307-316

  Calhoun, V ^a,b   Adali, T ^b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; DATA HANDLING; FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING; SEPARATION; SIGNAL PROCESSING;

ANALYTIC NONLINEARITIES; COMPLEX NONLINEARITY; CONVERGENCE CHARACTERISTICS; CONVOLUTIVE SOURCE SEPARATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS(ICA); INPUT DISTRIBUTIONS; REAL AND IMAGINARY;

SOURCE SEPARATION;

EID: 84953724721     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2002.1030042     Document Type: Conference Paper

References (14)

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