Quarterly journal published in SPbPU
and edited by prof. Dmitry Zegzhda
and edited by prof. Dmitry Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
ISSN 2071-8217
AN EMPIRICAL STUDY OF THE ROBUSTNESS OF A LINEAR FILTER BUILT ON THE NEYMAN-PEARSON CRITERION TO A CHANGE IN THE MEAN VALUES
R. A. Ognev, D. P. Zegzhda Peter the Great St. Petersburg Polytechnic University
Annotation: The assertion about the stability of a linear filter built on the basis of the Neyman-Pearson criterion was verified by performing falsifying experiments. The relationship between the eigenvalues of the interference covariance matrix and their minimum values and network stability was not found.
Keywords: linear filter, single-layer neural network, robustness, Neyman-Pearson criterion.
Pages 139-144