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...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Amsterdam ; Boston :
Elsevier
2013.
London : 2013. |
| Edition: | 1st ed |
| Series: | Elsevier insights
Elsevier insights. |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627920906719 |
| 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. The authors' research pr |
|---|---|
| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (xv, 249 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9780128103166 9780124045958 |
