System parameter identification : information criteria and algorithms /
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 identi...
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| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam ; Boston :
Elsevier,
2013.
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| Edition: | 1st ed. |
| Series: | Elsevier insights.
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| Online Access: | Connect to the full text of this electronic book |
| 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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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xv, 249 pages :) : illustrations (some color). |
| Bibliography: | Includes bibliographical references. |