Educational Simulator for Frequency Estimation using ANN.

The parameter estimation of signals is one of important topics in electrical and electronics engineering area. For the estimation of main/fundamental parameters (amplitude, frequency and phase) of signals, many methods and techniques proposed. In this study, educational simulator for frequency estimation of signals is realized with artificial neural networks. Artificial neural networks are used for training Prony coefficients. Designed simulator is written in MATLAB and effects of neural net parameters (cost function, activation function, neuron size, etc.) on learning ability can be compared. Besides educational purposes, developed simulator can be used by engineers in order to create frequency estimators in practical studies. [ABSTRACT FROM AUTHOR]