On the choice of Kernel for signal interpolation on the sphere using reproducing kernel Hilbert spaces **

Usama Elahi, Zubair Khalid, Rodney Kennedy

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

    Abstract

    In this paper, we present a mathematical framework for the interpolation (approximation) of signals defined on the sphere using the notion of reproducing-kernel Hilbert spaces (RKHS) and evaluate the performance of different isotropic kernels. Using the reproducing kernel and kernel inclusion properties of RKHS, we first present the formulation for the interpolation (approximation) of a signal on the sphere from its measurements. Later, we analyse the performance of different isotropic univariate kernels: Abel Poisson kernel, Von Mises-Fisher kernel, Legendre generating function and Lebedev kernel, by evaluating the signal interpolation accuracy.
    Original languageEnglish
    Title of host publication2017, 11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017 - Proceedings
    EditorsWysocki TA, Wysocki BJ
    Place of PublicationRed Hook, NY
    PublisherIEEE
    Pages1-7
    EditionPeer reviewed
    ISBN (Print)9781538628874
    DOIs
    Publication statusPublished - 2017
    Event11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017 - Surfers Paradise, Australia
    Duration: 1 Jan 2017 → …
    https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8262702

    Conference

    Conference11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017
    Period1/01/17 → …
    Other13 December 2017 through 15 December 2017
    Internet address

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