Complex infomax: Convergence and approximation of infomax with complex nonlinearities

DOI10.1007/S11265-006-7514-5zbMath1100.94005OpenAlexW2047476084MaRDI QIDQ2505097

Tülay Adali, Vince D. Calhoun

Publication date: 29 September 2006

Published in: Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11265-006-7514-5

zbMATH Keywords

independent component analysisfMRIICAInfomax

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs (65M12) Statistical aspects of information-theoretic topics (62B10)

Cites Work

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• Blind separation of convolved mixtures in the frequency domain
• Independent component analysis, a new concept?
• A unifying information-theoretic framework for independent component analysis
• Quasi-likelihood functions
• Fully complex multi-layer perceptron network for nonlinear signal processing
• Independent component analysis applied to fMRI data: a generative model for validating results
• Complex domain backpropagation
• Blind separation of mixture of independent sources through a quasi-maximum likelihood approach
• Approximation by Fully Complex Multilayer Perceptrons

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