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

Published by Springer, 2012

About this Item

Seiten; 9783642286957.2 Gewicht in Gramm: 1. Seller Inventory # 668016

Bibliographic Details

Title: Advances in Intelligent Signal Processing ...

Publisher: Springer

Publication Date: 2012

Binding: hardcover

Condition: Sehr gut

About this title

Synopsis:

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.

 

Review:

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)