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. Ed(S): Georgieva, Petia; Mihaylova, Lyudmila S.; Jain, Prof. Lakhmi C. - Advances in Intelligent Signal Processing and Data Mining - 9783642439803 - V9783642439803
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Advances in Intelligent Signal Processing and Data Mining

€ 193.34
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Description for Advances in Intelligent Signal Processing and Data Mining Paperback. With contributions from leading experts in the field, this volume presents the most efficient statistical and deterministic methods for information processing and applications that allow the extraction of targeted data and the discovery of hidden patterns. Editor(s): Georgieva, Petia; Mihaylova, Lyudmila S.; Jain, Prof. Lakhmi C. Series: Studies in Computational Intelligence. Num Pages: 368 pages, biography. BIC Classification: TBC; UYQ; UYS. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 563.

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.

 

Product Details

Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
368
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
354
Place of Publication
Berlin, Germany
ISBN
9783642439803
SKU
V9783642439803
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Advances in Intelligent Signal Processing and Data Mining
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 ... Read more

Goodreads reviews for Advances in Intelligent Signal Processing and Data Mining


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