Overview
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.
Full Product Details
Author: Petia Georgieva ,
Lyudmila Mihaylova ,
Lakhmi C Jain
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: 2013 ed.
Volume: 410
Dimensions:
Width: 15.50cm
, Height: 1.90cm
, Length: 23.50cm
Weight: 5.562kg
ISBN: 9783642439803
ISBN 10: 3642439802
Pages: 354
Publication Date: 09 August 2014
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
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)
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)
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)
