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Proceedings Paper

Integral poly-Gaussian model for non-Gaussian rough surfaces
Author(s): Michael Ya. Litvak
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Paper Abstract

A new statistical model for non-gaussian stationary random processes and fields is proposed. The distinctive feature of the model is that the probability distributions of all orders have the form of integral polygaussian mixtures. The model can be applied for the description and computer simulation of one- and two-dimensional rough textures as well as for theoretical studies of interaction of light or particle flows with non-gaussian roughness.

Paper Details

Date Published: 1 September 1996
PDF: 2 pages
Proc. SPIE 2778, 17th Congress of the International Commission for Optics: Optics for Science and New Technology, 27782Q (1 September 1996); doi: 10.1117/12.2298980
Show Author Affiliations
Michael Ya. Litvak, St. Petersburg State Technical Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 2778:
17th Congress of the International Commission for Optics: Optics for Science and New Technology
Joon-Sung Chang; Jai-Hyung Lee; ChangHee Nam, Editor(s)

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