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Information Measures: Information and its Description in Science and Engineering (Signals and Communication Technology)
 
 
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Information Measures: Information and its Description in Science and Engineering (Signals and Communication Technology) [Paperback]

Christoph Arndt (Author)

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Book Description

January 12, 2004 354040855X 978-3540408550

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


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Editorial Reviews

Review

"Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, such as are generated from genome mapping, make sense of them, and render them accessible to scientists working on a wide variety of problems. "Information Measures: Information and its Description in Science and Engineering" 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.


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Inside This Book (learn more)
First Sentence:
Information is an essential component of the transmission of messages or knowledge and it was being used with or without awareness in our everyday life long before computers made their way into our life. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
conditional distribution density, relative information measures, stochastic observability, marginal distribution densities, nonlinear observation equation, gaussian distribution density, joint distribution density, gaussian distribution densities, continuous distribution densities, ambiguity function, maximum entropy estimation, uniform distribution density, insufficient reasoning, minimum discrimination information, realization space, first addend, distribution density function, driving noise, second addend, joint entropy, statistical entropy, binary logarithm, generalized measures
Key Phrases - Capitalized Phrases (CAPs): (learn more)
John von Neumann, Lord Kelvin, Dennis Gabor, Edward Jaynes
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