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semba-fdtd is a finite-differences in time domain solver with special focus on EMC problems. semba-fdtd can be used as a standalone solver or integrated within a FreeCAD workbench (www.elemwave.com).
A machine learning project for classifying bearing faults using the CWRU dataset, with models built using Python and various ML techniques such as cross-validation, PCA, tSNE, SVM, XGBoost.
A refactored port and code rebuilt of JWave - Discrete Fourier Transform (DFT), Fast Wavelet Transform (FWT), Wavelet Packet Transform (WPT), some Shifting Wavelet Transform (SWT) by using orthogonal (orthonormal) wavelets like Haar, Daubechie, Coiflet, and other normalized bi-orthogonal wavelets.
📶 Project aims to simulate multiplexing three signals on two carriers with two different frequencies where two of these signals are modulated using quadrature amplitude modulation, then the three signals are restored using synchronous carrier demodulation.
Oscilloground is a Python program that provides a user-friendly interface to combine different signals and visualize them in the time and frequency domains.