Editors:
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3195)
Conference series link(s): ICA: International Conference on Independent Component Analysis and Signal Separation
Conference proceedings info: ICA 2004.
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Table of contents (158 papers)
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Front Matter
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Theory and Fundamentals
Keywords
- Bayesian learning
- Derivative
- ICA algorithm
- Maximum
- Minimum
- blind source separation
- calculus
- differential equation
- independent component analysis
- signal processing
- source extraction
- spectral theorem
- speech processing
- statistical methods
- telecommunications
- algorithm analysis and problem complexity
Editors and Affiliations
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Dept. of Architecture and Computer Technology, University of Granada, Spain
Carlos G. Puntonet, Alberto Prieto
Bibliographic Information
Book Title: Independent Component Analysis and Blind Signal Separation
Book Subtitle: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, Proceedings
Editors: Carlos G. Puntonet, Alberto Prieto
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b100528
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Softcover ISBN: 978-3-540-23056-4Due: 17 September 2004
eBook ISBN: 978-3-540-30110-3Published: 27 October 2004
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XLVI, 1270
Topics: Analysis, Special Purpose and Application-Based Systems, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Coding and Information Theory, Statistics and Computing/Statistics Programs