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Advances in Intelligent Signal Processing and Data Mining de Petia Georgieva

Advances in Intelligent Signal Processing and Data Mining: Studies in Computational Intelligence, cartea 410

Editat de Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain
en Limba Engleză Paperback – 9 aug 2014
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.
 
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Specificații

ISBN-13: 9783642439803
ISBN-10: 3642439802
Pagini: 368
Ilustrații: XIV, 354 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.56 kg
Ediția:2013
Editura: Springer
Colecția Studies in Computational Intelligence
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

From the content: Introduction to Intelligent Signal Processing and Data Mining.- Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning.- A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter.- Sequential Monte Carlo Methods forLocalisation inWireless Networks.- A Sequential Monte Carlo Approach for Brain Source Localization.

Recenzii

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)

Textul de pe ultima copertă

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.
 

Caracteristici

Computational Intelligence applied to engineering Latest research on security and sensor networks in complex engineering systems Written by leading experts in the field