9783642286964
IR
EN-57664
انگلیسی
IR
Advances in Intelligent Signal Processing and Data Minin
[Book]
:Theory and Applications
/ edited by Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain
Berlin, Heidelberg
: Springer Berlin Heidelberg :Imprint: Springer,
, 2013.
XIV, 354 p. 143 illus., online resource.
(Studies in Computational Intelligence,1860-949X
; 410)
Electronic
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.
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.
Studies in Computational Intelligence,1860-949X
410
Engineering
Artificial intelligence
Electronic books
E-BOOK
Georgieva, Petia.
Mihaylova, Lyudmila
Jain, Lakhmi C
SpringerLink (Online service)
ایران
9783642286957.pdf
عادی
عادی
9783642286957.pdf
متن
old catalog
e
BL
1
a
Y
