| Independent Component Analysis: Principles and Practice Contributor(s): Roberts, Stephen (Editor), Everson, Richard (Editor) |
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ISBN: 051162414X ISBN-13: 9780511624148 Publisher: Cambridge University Press OUR PRICE: $191.25 Product Type: Open Ebook - Other Formats Published: July 2014 |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Mathematics | Probability & Statistics - General - Computers | Natural Language Processing |
| Dewey: 006.32 |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |