Sampling reconstruction procedure for a Markovian Gaussian nonstationary process in the presence of Jitter

V. A. Kazakov, J. A. Medina

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

Abstract

The present work provides the conditional mathematic expectation rule in order to analyze the sampling reconstruction procedure of a Nonstationary process in the presence of jitter. Beta function is studied as a representation of jitter distribution. The sampled process is Markovian Gaussian. The error reconstruction function is investigated for nonstationary regime.

Original languageEnglish
Title of host publication2007 4th International Conference on Electrical and Electronics Engineering, ICEEE 2007
Pages114-117
Number of pages4
DOIs
StatePublished - 2007
Event2007 4th International Conference on Electrical and Electronics Engineering, ICEEE 2007 - Mexico City, Mexico
Duration: 5 Sep 20077 Sep 2007

Publication series

Name2007 4th International Conference on Electrical and Electronics Engineering, ICEEE 2007

Conference

Conference2007 4th International Conference on Electrical and Electronics Engineering, ICEEE 2007
Country/TerritoryMexico
CityMexico City
Period5/09/077/09/07

Keywords

  • Error
  • Jitter
  • Nonstationary Gaussian process
  • Reconstruction
  • Sampling

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