An empirical study of the robustness of a linear filter built on the Neyman – Pearson criterion to a change in the mean values

An empirical study of the robustness of a linear filter built on the Neyman — Pearson criterion to a change in the mean values

Artificial intelligence and machine learning systems security

Authors:

Abstract:

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.