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.