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Advances in Intelligent Signal Processing and Data Mining

Download or Read eBook Advances in Intelligent Signal Processing and Data Mining PDF written by Petia Georgieva and published by Springer. This book was released on 2012-07-27 with total page 359 pages. Available in PDF, EPUB and Kindle.
Advances in Intelligent Signal Processing and Data Mining
Author :
Publisher : Springer
Total Pages : 359
Release :
ISBN-10 : 9783642286964
ISBN-13 : 3642286968
Rating : 4/5 (64 Downloads)

Book Synopsis Advances in Intelligent Signal Processing and Data Mining by : Petia Georgieva

Book excerpt: 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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