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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.
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