SFEGO_3D_PyCUDA

Project information

This code is Spatial Frequency Extraction using Gradient-liked Operator in Three-Dimension (SFEGO_3D) that use gradient and integral to mimic the Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and Three-dimensional Empirical Mode Decomposition (TEMD) in different way. Our code can get 6 Spatial Data (128128128) within 1 minutes with modern GPU.

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November 30, 2023

Copy SSH clone URLgit@gitlab.cargon.net:CardLin/SFEGO_3D_PyCUDA.git
Copy HTTPS clone URLhttps://gitlab.cargon.net/CardLin/SFEGO_3D_PyCUDA.git

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