Empirical Study of the Stability of a Linear Filter Based on the Neyman–Pearson Criterion to Changes in the Average Values
Pages 933 - 937
Abstract
Abstract—
The statement about the stability of a linear filter built based on the Neyman–Pearson criterion is verified by performing falsifying experiments. No relationship is found between the number of small eigenvalues of the noise covariance matrix and network stability.
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© Allerton Press, Inc. 2023. ISSN 0146-4116, Automatic Control and Computer Sciences, 2023, Vol. 57, No. 8, pp. 933–937. © Allerton Press, Inc., 2023. Russian Text © The Author(s), 2023, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy.
Publisher
Allerton Press, Inc.
United States
Publication History
Published: 29 February 2024
Accepted: 07 August 2023
Revision received: 25 July 2023
Received: 12 July 2023
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