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Acado Toolkit solvers testing
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This library proposes an easy way to implement real-time algorithms for critical embedded systems.
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ISAE Group Drone Competition MATLAB port code.
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A deep learning auto-regressive method is trained to learn the acoustic propagation in presence of obstacles. The method is flexible to account for both far-fields prediction (non-reflecting cases) as well as duct acoustics (non-reflecting BCs).
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This repository contains "experimental modular TFA" (aka xtfa), a python-implementation of the algorithms and data structures that I have developed during my thesis. For more information on the theoretical grounds, please consult my manuscript.
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Copy of the original CREME project scripts. This copy is used to learn the functioning of the original simulations and modify it.
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Ros2 packages