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System Parameter Identification
 
 

System Parameter Identification, 1st Edition

Information Criteria and Algorithms

 
System Parameter Identification, 1st Edition,ISBN9780124045743
 
 
 

Elsevier

9780124045743

9780124045958

266

229 X 152

Introduces the information criteria and related algorithms for system parameter identification.

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Key Features

  • Named a 2013 Notable Computer Book for Information Systems by Computing Reviews
  • One of the first books to present system parameter identification with information theoretic criteria so readers can track the latest developments
  • Contains numerous illustrative examples to help the reader grasp basic methods

Description

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. The authors’ research provides a base for the book, but it incorporates the results from the latest international research publications.

Readership

Engineers, scientists and graduate students interested in information theory, signal processing, system identification and adaptive system training.

System Parameter Identification, 1st Edition

1.Introduction
2.Information Measures
3.Information Theoretic Estimation
4.System Identification Under Minimum Error Entropy Criteria
5.System Identification Under Information Divergence Criteria
6.System Identification Based on Mutual Information Criteria

Quotes and reviews

"…almost all of the variables used in the formulas are defined, something I cannot say about many other mathematical books…I found this book timely, interesting, and very well written. Readers can learn about estimation methodologies, the art of proof, and identification of the parameters assumed by the system architect or designer."--ComputingReviews.com, March 5, 2014
"Chen… Zhu, Hu…and Principe…synthesize their recent papers into a single-volume reference on system identification under criteria based on the information theory descriptors of entropy and dissimilarity. They cover information measures, information theoretic parameter estimation, system identification under minimum error entropy criteria, system identification under information divergence criteria, and system identification based on mutual information criteria."--Reference & Research Book News, December 2013

 
 
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