Independent Component Analysis
A comprehensive introduction to ICA for students and practitioners
Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. Get and download textbook Independent Component Analysis for free
This volume presents the theory and applications of self-organising neural network models which perform the Independent Component Analysis (ICA) transformation and Blind Source Separation (BSS). It is largely self-contained, covering the fundamental concepts of information theory, higher order statistics and information geometry. Neural models for instantaneous and temporal BSS and their adaptation algorithms are presented and studied in detail. There is also in-depth coverage of the following application areas; noise reduction, speech enhancement in noisy environments, image enhancement, feature extraction for classification, data analysis and visualisation, data mining and biomedical data analysis. Self-Organising Neural Networks will be of interest to postgraduate students and researchers in Connectionist AI, Signal Processing and Neural Networks, research and development workers, and technology development engineers and research engineers.
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 more.
Independent Component Analysis is divided into four sections that cover:
* General mathematical concepts utilized in the book
* The basic Independent Component Analysis new edition
Download free books for Independent Component Analysis and Signal Separation, 7 conf., ICA 2007
Independent Component Analysis and Signal Separation, 7 conf., ICA 2007: Christopher C. James, Mark D. Plumbley, Mike E. Davies, Samer A. Abdallah
Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings (Lecture ... Computer Science and General Issues): Christian Jutten, Tulay Adali
Categories: Multivariate analysis, Principal components analysis. Contributors: Aapo Hyvarinen - Author. Format: Hardcover
Categories: Multivariate analysis, Principal components analysis. Contributors: Aapo Hyvarinen - Author. Format: Hardcover
Independent Component Analysis Textbook
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
Independent Component Analysis is divided into four sections that cover:
* General mathematical concepts utilized in the book
* The basic
