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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Error Functions of Gaussian Fields Using Radial and Spiral Sampling


    Beteiligte:


    Erscheinungsdatum :

    01.11.2013


    Format / Umfang :

    554204 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    The Basis Functions in the Sampling-Reconstruction Procedure of Gaussian Random Fields

    Gonzalez-Lugo, Juan A. / Cammarota, Rosario / Rodriguez, Salvador et al. | IEEE | 2013



    Adaptive Sampling for CFD Data Interpolation Using Radial Basis Functions

    Mackman, T. / Allen, C. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2009


    Maximum Error Estimation of Gaussian Processes in the Sampling-Reconstruction Procedure

    Morales-Arenas, Gabriela / Rodriguez-Saldana, Daniel / Kazakov, Vladimir | IEEE | 2015


    Magnetic fields in spiral galaxies

    Spencer, S. / Cram, L. | British Library Online Contents | 1993