Computer Modeling and Simulation, International Conference on (2009)

Mar. 25, 2009 to Mar. 27, 2009

ISBN: 978-0-7695-3593-7

pp: 212-216

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/UKSIM.2009.22

ABSTRACT

A probability distribution model is proposed in this paper. Fourier Transform of a unit rectangular pulse, whose width is a random variable with Gaussian distribution, is used to derive the probability density function (p.d.f.) in the frequency domain. Result of the mathematical derivation is an exponential mathematical function involving an infinite summation over all integers. The projection theorem is used to arrive at the exact probability density function. To verify this experimentally, a randomly generated sample of Gaussian numbers, representing the pulse width is mapped onto the frequency domain, and the resulting points have a certain probability distribution, which matches with the theoretically proposed function.

INDEX TERMS

Probability Density Functions, Gaussian distribution, Fourier Transform, sinc function

CITATION

Kanungo Barada Mohanty,
"Frequency Domain Modeling for Classification of Signals",

*Computer Modeling and Simulation, International Conference on*, vol. 00, no. , pp. 212-216, 2009, doi:10.1109/UKSIM.2009.22