Overview
- Covers the latest cutting edge topics on BSS and emphasis on the open problems
- Present both theory and applications with examples
- Offers unique in-depth analysis of BSS/ICA topics
- Includes most advanced areas of BSS and the comprehensive description of the core principles of ICA/BSS
- Includes supplementary material: sn.pub/extras
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (20 chapters)
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Front Matter
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Theory, Algorithms, and Extensions
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Front Matter
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Applications
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Front Matter
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Keywords
About this book
Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms and applications of BSS.
Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.
Editors and Affiliations
Bibliographic Information
Book Title: Blind Source Separation
Book Subtitle: Advances in Theory, Algorithms and Applications
Editors: Ganesh R. Naik, Wenwu Wang
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-3-642-55016-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-55015-7Published: 11 June 2014
Softcover ISBN: 978-3-662-51403-0Published: 20 September 2016
eBook ISBN: 978-3-642-55016-4Published: 21 May 2014
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: IX, 551
Number of Illustrations: 189 b/w illustrations
Topics: Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Computational Intelligence, Biomedical Engineering and Bioengineering, Computational Mathematics and Numerical Analysis