Sampling with jitter and reconstruction procedure of Gaussian processes with a limited number of samples

Vladimir A. Kazakov, Daniel San Rodriguez

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The statistical description of sampling-reconstruction procedure with jitter of Gaussian processes with an arbitrary number of samples is given. The analysis is based on the conditional mean rule. We describe the statistical average procedure in order to obtain the principal statistical characteristics: the basic functions and the error reconstruction functions. This approach is valid for many mathematical models of jitter. Some examples are given.

Original languageEnglish
Pages (from-to)287-294
Number of pages8
JournalWSEAS Transactions on Information Science and Applications
Volume2
Issue number3
StatePublished - Mar 2005

Keywords

  • Basic function
  • Error reconstruction
  • Gaussian process
  • Jitter
  • Reconstruction
  • Sampling

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