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The MRiLab project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MRiLab/
The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time...
This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
This is a standalone, all in one Edge Detector that is mainly running on GPU using the CUDA technology. Each algorithm also has an OpenCV counterpart which is the closest one in terms of speed.
This project is partly based on the Sobel Filter sample available as part of the CUDA SDK.
This project also partly uses the OpenCV library to load different types of image.
This program includes: Prewitt filter, Roberts Cross, Canny edge detector and finally Sobel filter with the ability to modify...
This project is to develop a real time scheduler. We currently have a scheduler patch for the linux kernel that separates the ready real time tasks into MAX_PRI lists. This allows very fast insertion and basically flat dispatch times for real time tasks.
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