Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty
19 sty 2016
O artykule
Data publikacji: 19 sty 2016
Zakres stron: 13 - 22
DOI: https://doi.org/10.1515/cait-2015-0085
Słowa kluczowe
© 2015 I. G. Prokopenko, published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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.