UID:
edocfu_9959327338002883
Format:
1 online resource (xxi, 481 pages) :
,
illustrations
ISBN:
0471464198
,
9780471464198
,
047140540X
,
9780471405405
,
0471221317
,
9780471221319
Series Statement:
Adaptive and learning systems for signal processing, communications, and control.
Content:
A comprehensive introduction to ICA for students and practitionersIndependent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in image processing, telecommunications, audio signal processing, and.
Note:
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.
Additional Edition:
Print version: Hyvarinen, Aapo. Independent component analysis. New York : J. Wiley, ©2001 ISBN 047140540X
Language:
English
Keywords:
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471221317
