74504

Автор(ов): 

3

Параметры публикации
Тип публикации: 
Статья в журнале/сборнике
Название: 
Statistical Complexity as a Criterion for the Useful Signal Detection Problem
ISBN/ISSN: 
0005-1179
DOI: 
10.25728/arcRAS.2023.27.32.001
Наименование источника: 
Automation and Remote Control
Обозначение и номер тома: 
Т. 84. № 7
Город: 
Moscow
Издательство: 
Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
Год издания: 
2023
Страницы: 
852–871
Аннотация
Three variants of the statistical complexity function, which is used as a criterion in the problem of detection of a useful signal in the signal-noise mixture, are considered. The probability distributions maximizing the considered variants of statistical complexity are obtained analytically and conclusions about the efficiency of using one or another variant for detection problem are made. The comparison of considered information characteristics is shown and analytical results are illustrated on an example of synthesized signals. A method is proposed for selecting the threshold of the information criterion, which can be used in decision rule for useful signal detection in the signal-noise mixture. The choice of the threshold depends a priori on the analytically obtained maximum values. As a result, the complexity based on the total variation demonstrates the best ability of useful signal detection.
Библиографическая ссылка: 
Берлин Л.М., Галяев А.А., Лысенко П.В. Statistical Complexity as a Criterion for the Useful Signal Detection Problem // Automation and Remote Control. 2023. Т. 84. № 7. С. 852–871.