Foundations and TrendsŪ in Communications and Information Theory
RELIABILITY CRITERIA IN INFORMATION THEORY AND STATISTICAL HYPOTHESIS TESTING
by Evgueni A Haroutunian (National Academy of Sciences of Armenia), Mariam E Haroutunian (National Academy of Sciences of Armenia) & Ashot N Harutyunyan (Universit-at Duisburg-Essen)
Reliability Criteria in Information Theory and Statistical Hypothesis Testing is devoted to one of the central problems of Information Theory; the problem of determination of interdependence of coding rate and of error probability exponent for different information transmission systems. The overview deals with memoryless systems of finite alphabet setting.
Reliability Criteria in Information Theory and Statistical Hypothesis Testing briefly formulates fundamental notions and results of Shannon theory on reliable transmission via coding and gives a survey of results obtained in last two-three decades by the authors, their colleagues and other researchers. The book is written with the goal to make accessible to a broader circle of readers the concept of rate-reliability. This concept is useful to solve these problems as well as elaborating the idea of reliability-reliability dependence related to statistical hypothesis testing and identification.
Reliability Criteria in Information Theory and Statistical Hypothesis Testing is for students, researchers and professionals working in Information Theory.
Published by Now Publishers and marketed by World Scientific
Contents:
- Introduction
- E-capacity of the DMC
- Multiuser Channels
- E-capacity
of Varying Channels
- Source Coding Rates Subject to Fidelity and Reliability Criteria
- Reliability Criterion in Multiterminal Source Coding
- Logarithmically Asymptotically Optimal Testing of Statistical Hypotheses
- References
Readership: Postgraduates researchers, students, professionals and professors
of wireless communication systems and information theory.
| 188pp |
Pub. date: Jan 2008 |
|
