Statistical analysis of the Beta distributed random light field

Xinyu Wen, Bozhen Zhang, Ying Wang, Wei Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The Beta distribution can effectively describe the non-Gaussian statistical characteristics of the electromagnetic scattering. Conventional random electromagnetic fields always implicitly assume that the number of steps is infinite, but in practice, it is finite. In this paper, we investigate the statistical properties of the Beta distributed random light field, and analyze the new statistical theory by combining the resulting probability density function distribution of the Stokes parameters.

Original languageEnglish
Title of host publication3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)
EditorsXuebin Chen, Hari Mohan Srivastava
PublisherSPIE
ISBN (Electronic)9781510667617
ISBN (Print)9781510667600
DOIs
Publication statusPublished - 28 Jul 2023
Event3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing 2023 - Tangshan, China
Duration: 24 Mar 202326 Mar 2023

Publication series

NameProceedings of SPIE
Volume12756
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing 2023
Abbreviated titleCAMMIC 2023
Country/TerritoryChina
CityTangshan
Period24/03/2326/03/23

Keywords

  • Beta distribution
  • phase sum
  • probability density function
  • Stokes parameters

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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