Independent Component Analysis - Principles and Practice (Hardcover)

Independent Components Analysis (ICA) is an important tool for modeling and understanding empirical data sets. Belonging to the class of general linear models, it is a method of separating out independent sources from linearly mixed data. ICA provides a better decomposition than other well-known models such as principal component analysis. This self-contained book contains a structured series of edited papers by leading researchers in the field and includes an extensive introduction to ICA. It reviews the major theoretical bases from a modern perspective, surveys current developments, and describes many case studies of applications in detail. Applications include biomedical examples, signal and image denoising, and mobile communications. The book discusses ICA within the framework of general linear models, but it also compares it to other paradigms such as neural network and graphical modeling methods.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	2001
First published:	2001
Editors:	Stephen Roberts • Richard Everson
Dimensions:	229 x 152 x 24mm (L x W x T)
Format:	Hardcover
Pages:	352
ISBN-13:	978-0-521-79298-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	0-521-79298-3
Barcode:	9780521792981

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