Georgieva / Mihaylova / Jain Advances in Intelligent Signal Processing and Data Mining

Theory and Applications
Erscheinungsjahr 2012
ISBN: 978-3-642-28696-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 410, 354 Seiten, eBook

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Georgieva, Petia

Mihaylova, Lyudmila

Jain, Lakhmi C

Inhaltsverzeichnis

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 for
Localisation inWireless Networks.- A Sequential Monte Carlo Approach for Brain Source Localization.