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Efficient kernel-based formulations of spatio-spectral and related transformations on the 2-sphere

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Kennedy, Rodney
Khalid, Zubair
Sadeghi, Parastoo

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Institute of Electrical and Electronics Engineers Inc.

Abstract

In this paper we show that the spatially localized spherical harmonic transform (SLSHT), which represents a signal on the 2-sphere in the spatio-spectral domain, can be efficiently computed using new kernel-based formulations. In addition to the standard

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ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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Restricted until

2037-12-31