Advances in Intelligent Signal Processing and Data Mining: Theory and Applications

Georgieva, Petia (Editor)/ Mihaylova, Lyudmila (Editor)/ Jain, Lakhmi C. (Editor)

ISBN 10: 364228695X / ISBN 13: 9783642286957

Editore: Springer Verlag, 2012

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2013 edition. 368 pages. 9.25x6.25x1.00 inches. In Stock.

Codice articolo x-364228695X

Dati bibliografici

• Titolo: Advances in Intelligent Signal Processing and Data Mining: Theory and Applications
• Editore: Springer Verlag
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 364228695X
• ISBN 13: 9783642286957
• Rilegatura: Hardcover
• Condizione: Brand New

Descrizione articolo

Riassunto

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.