Independent component analysis:
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Bibliographic Details
Format: Electronic eBook
Language:English
Published: New York J. Wiley c2001
Subjects:
Online Access:FRO01
TUM01
Volltext
Item Description:Includes bibliographical references (p. 449-475) and index
Random vectors and independence -- Gradients and optimization methods -- Estimation theory -- Information theory -- Principal component analysis and whitening -- What is independent component analysis? -- ICA by maximization of nongaussianity -- ICA by maximum likelihood estimation -- ICA by minimization of mutual information -- ICA by tensorial methods -- ICA by nonlinear decorrelation and nonlinear pca -- Practical considerations -- Overview and comparison of basic ICA methods -- Noisy ICA -- ICA with overcomplete bases -- Nonlinear ICA -- Methods using time structure -- Convolutive mixtures and blind deconvolution -- Other extensions -- Feature extraction by ICA -- Brain imaging applications -- Telecommunications -- Other applications
Physical Description:1 Online-Ressource (xxi, 481 p.) 25 cm
ISBN:0471221317
9780471221319

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