Error functions of Gaussian fields using radial and spiral sampling

Vladimir Kazakov, Luis Méndez, Daniel Rodríguez-Saldaña

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

Abstract

The purpose of this paper is to present two different spatial sample configurations in order to measure the error function of a given Gaussian random field. This Gaussian field is described by some two-dimensional covariance functions. We found these functions at the output of RC circuits in series. For this study we used the Sampling-Reconstruction Procedure (SRP) based on the conditional mean rule. Moreover we changed the covariance function, the quantity of samples and the distance between them. The results in this study demonstrate how all the above factors influence the error functions.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2013
Pages216-219
Number of pages4
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2013 - Cuernavaca, Morelos, Mexico
Duration: 19 Nov 201322 Nov 2013

Publication series

NameProceedings - 2013 International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2013

Conference

Conference2013 IEEE International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2013
Country/TerritoryMexico
CityCuernavaca, Morelos
Period19/11/1322/11/13

Keywords

  • Error reconstruction function
  • Gaussian fields
  • Non-uniform sampling
  • Spatial covariance function

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