Overview
- Computational Intelligence applied to engineering
- Latest research on security and sensor networks in complex engineering systems
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 410)
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About this book
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis.
The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.
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Keywords
Table of contents (12 chapters)
Reviews
From the reviews:
“This book is well structured and provides good coverage of several state-of-the-art approaches to intelligent signal processing and data mining. … chapters contain examples and algorithms and are accompanied by useful illustrations (several of which are in color) that help to explain the described approaches. The audience for the book is researchers and practitioners in signal processing and data mining who are interested in the latest developments in these areas.” (Aris Gkoulalas-Divanis, Computing Reviews, May, 2013)Editors and Affiliations
Bibliographic Information
Book Title: Advances in Intelligent Signal Processing and Data Mining
Book Subtitle: Theory and Applications
Editors: Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-28696-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-28695-7Published: 27 July 2012
Softcover ISBN: 978-3-642-43980-3Published: 09 August 2014
eBook ISBN: 978-3-642-28696-4Published: 27 July 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 354