2026-05-10T08:03:32.888Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:5273 2017-05-03T10:40:28Z 1

“Estimation of the Number of Stochastic EM Sources in Far-Field Using Probabilistic Neural Network” 2015 621.382.3:621.375.4 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/5273 Z. Stanković N. Dončov I. Milovanović In this paper, a neural model intended to efficiently determine the number of moving electromagnetic sources of stochastic radiation in the monitoring space sector is presented. Neural model is based on a probabilistic neural network. As an illustration, one-dimensional case is considered in which the noisy sources are moving only in the azimuth plane. conferenceObject 377 380 10.1109/TELSKS.2015.7357783. Proceedings of the 12th IEEE International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services