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Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty
Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty
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Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty
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Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty
Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty
Journal Article

Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty

2015
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Overview
The paper deals with the problem of synthesis of a robust detection algorithm for a harmonic signal on the background of correlated noise and impulse noise. The problem is solved using the empirical Bayes approach and the Tukey model of “pollution”. The efficiency of the algorithm is investigated by the Monte-Carlo method.
Publisher
Sciendo,De Gruyter Brill Sp. z o.o., Paradigm Publishing Services