An adaptive embedded architecture for real-time Particle Image Velocimetry algorithms

Simple item page
dc.creatorAubert, Alain
dc.creatorBochard, Nathalie
dc.creatorFresse, Virginie
dc.date2008-07-23
dc.date.accessioned2026-07-07T09:52:24Z
dc.date.available2026-07-07T09:52:24Z
dc.descriptionParticle Image Velocimetry (PIV) is a method of im-aging and analysing fields of flows. The PIV tech-niques compute and display all the motion vectors of the field in a resulting image. Speeds more than thou-sand vectors per second can be required, each speed being environment-dependent. Essence of this work is to propose an adaptive FPGA-based system for real-time PIV algorithms. The proposed structure is ge-neric so that this unique structure can be re-used for any PIV applications that uses the cross-correlation technique. The major structure remains unchanged, adaptations only concern the number of processing operations. The required speed (corresponding to the number of vector per second) is obtained thanks to a parallel processing strategy. The image processing designer duplicates the processing modules to distrib-ute the operations. The result is a FPGA-based archi-tecture, which is easily adapted to algorithm specifica-tions without any hardware requirement. The design flow is fast and reliable.
dc.description14th European Signal Processing Conference - EUSIPCO 2006, Florence : Italie (2006)
dc.identifierhttps://arxiv.org/abs/0807.3732
dc.identifierhttp://arxiv.org/abs/0807.3732
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/165582
dc.subjectHardware Architecture
dc.titleAn adaptive embedded architecture for real-time Particle Image Velocimetry algorithms
dc.typetext

Files

Collections

arXiv