Badong Chen, Institute of Artificial Intelligence and Robotics (IAIR), Xi'an Jiaotong University, Xi'an, China, Yu Zhu, Department of Mechanical Engineering, Tsinghua University, Beijing, China, Jinchun Hu, Department of Mechanical Engineering, Tsinghua University, Beijing, China, Jose C. Principe, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA
EDITION STATEMENT
Edition Statement
First edition
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
London, UK :
Name of Publisher, Distributor, etc.
Elsevier,
Date of Publication, Distribution, etc.
2013
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xv, 249 pages :
Other Physical Details
illustrations ;
Dimensions
24 cm
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 239-249) and index
SUMMARY OR ABSTRACT
Text of Note
Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing, investigating system identification from an information theory point of view. The book is divided into six chapters, which cover the information needed to understand the theory and application of system parameter identification