This project explores edge detection in images using central finite difference approximations of image derivatives. It includes Python implementations using OpenCV and NumPy, demonstrating the effect ...
Welcome to the Electromagnetic Simulation project! This repository showcases simulations of 1D, 2D, and 3D Finite-Difference Time-Domain (FDTD) methods, inspired by the work of Jennifer E. Houlie and ...
Finite-difference approximations for the first derivative, valid halfway between equidistant gridpoints, are in general much more accurate than the corresponding approximations, which are valid at ...
Developed a CUDA version of the FDTD method and achieved a speedup 40x. Implemented on a NVIDIA Quadro FX 3800 GPU, which has 192 SPs, 1GB global memory, and a memory bandwidth of 51.2 GB/s.
Abstract: This letter proposes a generalized and controllable-stability conformal method to address stability challenges inherent in conformal finite-difference time-domain algorithms. A quantitative ...
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