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- W2004306046 abstract "Holographic particle image velocimetry (HPIV) has now been demonstrated by several research groups as a method to make three-component velocity measurements from a three-dimensional fluid flow field. More recently digital HPIV has become a hot topic with the promise of near-real-time measurements without the often cumbersome optics and wet processing associated with traditional holographic methods. It is clear, however, that CCD cameras have a limited number of pixels and are not capable of resolving more than a small fraction of the interference pattern that is recorded by a typical particulate hologram. In this paper, we consider under-sampling of the interference pattern to reduce the information content and to allow recordings to be made on a CCD sensor. We describe the basic concept of model fitting to under-sampled data and demonstrate signal recovery through computer simulation. A three-dimensional analysis shows that in general, periodic sampling strategies can result in multiple particle images in the reconstruction. It is shown, however, that the significance of these peaks is reduced in the case of high numerical aperture (NA) reconstruction and can be virtually eliminated by dithering the position of sampling apertures." @default.
- W2004306046 created "2016-06-24" @default.
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- W2004306046 date "2004-03-19" @default.
- W2004306046 modified "2023-09-24" @default.
- W2004306046 title "Holographic particle image velocimetry: signal recovery from under-sampled CCD data" @default.
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- W2004306046 doi "https://doi.org/10.1088/0957-0233/15/4/014" @default.
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