Sampling-reconstruction procedure with jitter of Gaussian processes

Vladimir A. Kazakov, S. Daniel Rodríguez

Research output: Contribution to journalConference articlepeer-review

Abstract

The general approach of the statistical description of the Sampling-Recosntruction Procedure (SRP) with jitter of Gaussian processes with an arbitrary number of samples is given. The analisys is based on the conditional mean rule. We consider the classification of all known mathematical models of jitter and describe the statistical average procedure in order to find the principal SRP characteristics with Jitter: the reconstruction function and the error reconstruction function. We suggest the new interpretation of the reconstruction schemes on the basis of the kinetic equations for non-Markov processes. Some non-trivial examples are given.

Original languageEnglish
Article number1523479
JournalIEEE International Symposium on Information Theory - Proceedings
Volume2005-January
DOIs
StatePublished - 2005
Event2005 IEEE International Symposium on Information Theory, ISIT 05 - Adelaide, Australia
Duration: 4 Sep 20059 Sep 2005

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