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Engineering

Mathematics & Science

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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.

System Parameter Identification

POST SECONDARY FOUR YEAR

COLFR

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SYSTEM PARAMETER IDENTIFICATION

Duration

Duration Unit Of Measure

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Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
About the Authors.
Preface.
Symbols and Abbreviations.
1: Introduction.
2: Information Measures.
3: Information Theoretic Parameter Estimation.
4: System Identification under Minimum Error Entropy Criteria.
5: System Identification under Information Divergence Criteria.
6: System Identification Based on Mutual Information Criteria.
References.

System Parameter Identification.css-1p8rvzy{position:absolute;padding-left:8px;}

System Parameter Identification