Radio Frequency Interference (RFI) is a key issue for Synthetic Aperture Radar (SAR)
because it can seriously degrade the imaging quality, leading to the misinterpretation of the …

Deep convolutional neural networks (CNN) have been recently applied to synthetic aperture
radar (SAR) for automatic target recognition (ATR) and have achieved state-of-the-art results …

Specific emitter identification (SEI) is a technology that identifies different emitters through
their unique characteristics. Research on traditional specific emitter identification systems …

The article presents a method of recognizing sources of electromagnetic signal emission on
the basis of signals generated by using deep neural networks. These signals are measured …

A system governed by a decision making person is considered as active system [1-3]. The
keystone of the active systems theory is the Subjective Entropy Maximum Principle (SEMP) …

The goal of this paper is to investigate the influence of the objectively existing effectiveness
functions of an aircraft control system upon the control and managerial decision making …

Specific emitter identification technology aims to identify the signal emitted by a specific
emitter from multiple signals. Existing techniques for specific emitter identification are faced …

Radar signals have been dramatically increasing in complexity, limiting the source
separation ability of traditional approaches. In this paper we propose a Deep Learning …

The article analyses the classification of time series according to their fractal properties by
machine learning. The classification was carried out using neural networks and the random …

Conceptual and theoretical foundations of the given paper are based on the methods of
logical analysis, the theory of intelligence and algebra of finite predicates for the …