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 language | English |
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Title of host publication | 2017, 11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017 - Proceedings |
Editors | Wysocki TA, Wysocki BJ |
Place of Publication | Red Hook, NY |
Publisher | IEEE |
Pages | 1-7 |
Edition | Peer reviewed |
ISBN (Print) | 9781538628874 |
DOIs | |
Publication status | Published - 2017 |
Event | 11th 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
Conference | 11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017 |
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Period | 1/01/17 → … |
Other | 13 December 2017 through 15 December 2017 |
Internet address |