Abderrahmane Bennis

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Particle image velocimetry (PIV) is used in computational fluid dynamics to obtain a detailed localized view of velocity vectors in an unsteady fluid flow. The estimated velocity field is computed from local correlations of snapshot pairs of the particle-seeded flow, obtained by high-speed cameras. Despite many improvements to PIV methods over the last(More)
Parameterization of circuits is increasingly in demand. It opens the door both for investigating the right parameters for different application domains and reuse of components with the specific parameters in building new custom hardware. This can significantly reduce the time to market. In this work, we investigate the parameterization of particle image(More)
This paper presents PARPIV, the design and prototyping of a highly parameterized digital Particle Image Velocimetry (PIV) system implemented on reconfigurable hardware. Despite many improvements to PIV methods over the last twenty years, PIV post-processing remains a computationally intensive task. It becomes a serious bottleneck as camera acquisition rates(More)
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