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 and Data Mining: Theory and Applications (Studies in Computational Intelligence, 410, Band 410)
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 364228695X
• ISBN 13: 9783642286957
• Binding: hardcover
• Condition: Sehr gut
• Seller catalogs:
  • Varia

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.