Information Measures - Information and its Description in Science and Engineering (Hardcover, 2001 ed.)

This book is an introduction to the mathematical description of information in science and engineering. The necessary ma- thematical theory will be treated in a more vivid way than in the usual theoretical proof structure. This enables the reader to develop an idea of the connections between diffe- rent information measures and to understand the trains of thoughts in their derivation. As there exist a great number of different possible ways to describe information, these measures are presented in a coherent manner. Some examples of the information measures examined are: Shannon informati- on, applied in coding theory; Akaike information criterion, used in system identification to determine auto-regressive models and in neural networks to identify the number of neu- rons; and Cramer-Rao bound or Fisher information, describing the minimal variances achieved by unbiased estimators.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	March 2001
First published:	2001
Authors:	Christoph Arndt
Dimensions:	235 x 155 x 31mm (L x W x T)
Format:	Hardcover
Pages:	548
Edition:	2001 ed.
ISBN-13:	978-3-540-41633-3
Categories:	Books > Language & Literature > Language teaching & learning (other than ELT) > Specific skills > Writing skills Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	3-540-41633-1
Barcode:	9783540416333

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