Open AccessSIGNAL RECOGNITION SYSTEM MACHINE LEARNING ALGORITHM
Author(s) -
Dirk Schumacher
Publication year - 2020
Publication title -
prikladnaâ matematika i fundamentalʹnaâ informatika
Language(s) - English
Resource type - Journals
ISSN - 2311-4908
DOI - 10.25206/2311-4908-2020-7-1-53-59
Subject(s) - artificial neural network , computer science , matlab , artificial intelligence , software defined radio , time delay neural network , digital signal processing , software , machine learning , signal processing , algorithm , pattern recognition (psychology) , computer hardware , telecommunications , programming language , operating system
The article provides a comparative analysis of processing algorithms for digital information methods of machine learning. A research system for recognizing radio signals based on an artificial neural network as part of a software-defined radio system (SDR). The neural network was designed in the MatLab program, simulation signals were generated, and an algorithm for training the neural network was developed.