Y
Yu.N. Dubnistchev
Researcher at Russian Academy of Sciences
Publications - 5
Citations - 20
Yu.N. Dubnistchev is an academic researcher from Russian Academy of Sciences. The author has contributed to research in topics: Laser Doppler velocimetry & Laser Doppler vibrometer. The author has an hindex of 3, co-authored 5 publications receiving 20 citations.
Papers
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Journal ArticleDOI
A laser Doppler velocimeter which measures the three components of velocity
TL;DR: In this article, a system for simultaneously measuring the three orthogonal components of a velocity vector is described, which uses a laser beam passing twice through the region of flow under investigation.
Journal ArticleDOI
The application of an electro-optical frequency modulator with a rotating electric field in optical Doppler velocimeters
TL;DR: In this article, the possibility of using an electro-optical frequency modulator with a rotating electric field (Mthis article) in LDV is discussed, and prototype systems measuring one component of the velocity vector are described.
Journal ArticleDOI
Real-time coloured visualization of phase flows by the schlieren method
V.A. Arbuzov,Yu.N. Dubnistchev +1 more
TL;DR: In this paper, a real-time visualizer of optical inhomogeneities comprising a bichromatic schlieren system, video camera and colour monitor is developed, which represents a function Foucault-Hilbert transformation provided with an amplitude spatial frequency filter, or a quadrant Foucaine knife edge.
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The application of an optical Doppler frequency discriminator in a laser velocimeter
TL;DR: In this article, a laser velocimeter is described which uses an optical Doppler frequency discriminator in the form of a spherical mirror confocal Fabry-Perot interferometer (SFPI).
Journal ArticleDOI
Analysis of optical compensating schemes of laser Doppler velocimeters
TL;DR: In this article, the basic forms of the optical systems of laser Doppler velocimeters with supression of the additive noise component in the output signal are investigated by the Jones matrix method.