System parameter identification information criteria and algorithms / 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.

Author/creator Chen, Badong
Other author Zhu, Yu.
Other author Hu, Jinchun.
Other author Príncipe, J. C. (José C.)
Format Electronic
EditionFirst edition.
Publication InfoLondon, UK ; Waltham, MA, USA : Elsevier,
Descriptionxv, 249 pages : illustrations ; 24 cm
Supplemental ContentFull text available from eBook - Engineering 2013
Subjects

Abstract 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.-- Source other than Library of Congress.
Bibliography noteIncludes bibliographical references (pages 239-249) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2013940529
ISBN9780124045743
ISBN012404574X

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