Master of Science (MS)
First Committee Member
Number of Pages
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.
Analysis; Generators; Number; Random; Spectral
University of Nevada, Las Vegas
If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to firstname.lastname@example.org and include clear identification of the work, preferably with URL.
Olsen, Christy Juinsuk, "Spectral analysis of random number generators" (1992). UNLV Retrospective Theses & Dissertations. 181.