Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence, 410, Band 410)

Georgieva, Petia, Lyudmila Mihaylova und C Jain Lakhmi:

ISBN 10: 364228695X / ISBN 13: 9783642286957

Editore: Springer, 2012

Riguardo questo articolo

Seiten; 9783642286957.2 Gewicht in Gramm: 1. Codice articolo 668016

Dati bibliografici

Titolo: Advances in Intelligent Signal Processing ...

Casa editrice: Springer

Data di pubblicazione: 2012

Legatura: hardcover

Condizione: Sehr gut

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.

Recensione:

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)