Characterization and parameterization of a class of multivariable non-summable stochastic processes with bounded stochastic trends

Uche A.K. Chude-Okonkwo, Solomon Nunoo, Razali Ngah, Chollete Olisah Chude, Tharek Abd Rahman, Anthony A. Okafor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In some applications, multivariable stochastic processes that are composed of sequentially arranged independent weakly-stationary processes, may arise. Such multivariable process can be categorized as a class of non-summable processes with very complex probability density function. In this paper, we present the formal definition of such non-summable process, and provide a method of parameterizing and defining the statistical trend associated with the process. The illustration of a typical example of a multivariable non-summable process and how a bounded statistical trend can be obtained for the process is presented. The typical example is obtained from the simulation of a time-varying wideband wireless channel.

Original languageEnglish
Title of host publicationIEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications
PublisherIEEE Computer Society
Pages322-326
Number of pages5
ISBN (Print)9781479902675
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013 - Melaka, Malaysia
Duration: 8 Oct 201310 Oct 2013

Publication series

NameIEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications

Conference

Conference2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013
Country/TerritoryMalaysia
CityMelaka
Period8/10/1310/10/13

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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