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A New Approach to Signal Detection Theory

✍ Scribed by V.P. Tuzlukov

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
324 KB
Volume
8
Category
Article
ISSN
1051-2004

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✦ Synopsis

This paper is devoted to fundamental problems of the generalized signal processing approach based on a seemingly abstract idea: to introduce an additional noise source which does not carry any information about a signal for the purpose of improving qualitative characteristics of information processing systems. Theoretical and experimental investigations carried out by the author lead to the conclusion that the suggested signal processing approach allows one to formulate a decision-making rule based on the definition of the jointly sufficient statistics of mean and variance of the likelihood function (or functional). Classical signal detection theory allows one to define only sufficient statistics of the likelihood function (or functional) mean. The presence of additional information about statistical characteristics of the likelihood function (or functional) leads to the best qualitative algorithms of signal detection in comparison with optimal signal detection algorithms of the classical theory. 1998 Academic Press

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