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.

By:

Chen, Badong [author.]

Contributor(s):

Material type: Text

TextPublication details: London, UK ; Waltham, MA, USA : Elsevier, 2013.Edition: First editionDescription: xv, 249 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780124045743
012404574X

Subject(s):

DDC classification:

629.8312 23

LOC classification:

QA402 .C4385 2013

Online resources:

Publisher description

Summary: 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.--

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	Centeral Library Second Floor - Engineering & Architecture	629.8312 C.B.S 2013 (Browse shelf(Opens below))	Available		21850
Books	Centeral Library Second Floor - Engineering & Architecture	629.8312 C.B.S 2013 (Browse shelf(Opens below))	Available		21851

Includes bibliographical references (pages 239-249) and index.

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.--

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