System parameter identification : information criteria and algorithms /

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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 identi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chen, Badong
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK ; Waltham, MA : Elsevier, 2013.
Edición:1st ed.
Colección:Elsevier insights.
Temas:
System identification.
Computer algorithms.
Algorithms
Identification des syst�emes.
Algorithmes.
algorithms.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Computer algorithms
System identification
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (xv, 249 pages) : illustrations.
Bibliografía:Includes bibliographical references.
ISBN:9780124045958
0124045952

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