Information Measures : Information and its Description in Science and Engineering

Arndt, Christoph

ISBN 10: 354040855X / ISBN 13: 9783540408550

Published by Springer 2003-11, 2003

About this Item

Seller Inventory # 6666-IUK-9783540408550

Bibliographic Details

• Title: Information Measures : Information and its Description in Science and Engineering
• Publisher: Springer 2003-11
• Publication Date: 2003
• Language: English
• ISBN 10: 354040855X
• ISBN 13: 9783540408550
• Binding: PF
• Condition: New

About this title

Synopsis

From the reviews: "Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, [ . . . ] and render them accessible to scientists working on a wide variety of problems. [This book] can be such a tool". IEEE Engineering in Medicine and Biology

From the Back Cover

This book is an introduction to the mathematical description of information in science and engineering. The necessary mathematical theory will be treated in a more vivid way than in the usual theorem-proof structure. This enables the reader to develop an idea of the connections between different 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 information, 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. This softcover edition addresses researchers and students in electrical engineering, particularly in control and communications, physics, and applied mathematics.