DFT-ANN database
Published: 2 March 2022| Version 1 | DOI: 10.17632/vpzvgdtjk2.1
Contributors:
Gilbert-Rainer Gillich, Description
A set of data usable to train an ANN in order to find correction terms for different DFT amplitudes. To generate more training data or data to test the network you can use the "Data generator". First generate signals with different parameters (number of samples, sampling frequency, amplitude, phase, frequency etc.) Afterward use "Python_DFT - SINC OK" to find the DFT amplitudes and the correction term.
Files
Steps to reproduce
Extract the files Generate signal with the Python_DFT - SINC OK.pyw file - generate button Create data with the Python_DFT - SINC OK.pyw file - PySINC button
Institutions
Universitatea Babes-Bolyai
Categories
Signal Processing, Structural Health Monitoring