Award Date
1-1-1992
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Committee Member
Evangelos Yfantis
Number of Pages
140
Abstract
This paper is based on the theory developed by Dr. Evangelos Yfantis, professor of Computer Science at University of Nevada, Las Vegas. In this paper, we describe a method for testing the fairness of pseudorandom number generators using the Discrete Fourier Transform. We will show how the concept of a random process can be used in a representation for random discrete time signals. Using this concept, we have focused on the mathematical representations of the spectral analysis of a fair pseudorandom number generator. From this representation, a reasonable "spectral" expectation is determined. An algorithm which applies the developed method is described, and a modified shift register random number generator is used to produce sample data.
Keywords
Analysis; Generators; Number; Random; Spectral
Controlled Subject
Computer science
File Format
File Size
3143.68 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Permissions
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Repository Citation
Olsen, Christy Juinsuk, "Spectral analysis of random number generators" (1992). UNLV Retrospective Theses & Dissertations. 181.
http://dx.doi.org/10.25669/o4rx-568j
Rights
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
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