Description: Independent Components Analysis : Principles and Practice, Hardcover by Roberts, Stephen (EDT); Everson, Richard (EDT), ISBN 0521792983, ISBN-13 9780521792981, Brand New, Free shipping in the US 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. Th 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.
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Book Title: Independent Components Analysis : Principles and Practice
Number of Pages: 352 Pages
Publication Name: Independent Component Analysis : Principles and Practice
Language: English
Publisher: Cambridge University Press
Subject: Probability & Statistics / Multivariate Analysis, Natural Language Processing, Neural Networks
Publication Year: 2001
Item Height: 0.9 in
Type: Textbook
Item Weight: 24.4 Oz
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Richard Everson
Item Width: 6.3 in
Format: Hardcover
