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Sifting Convolution on the Sphere

delete2021-01-01
delete10
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OA
AI
P
Patrick J. Roddy *
J
Jason D. McEwen
DOI:10.1109/LSP.2021.3050961delete
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Abstract

Abstract

En 中文
A novel spherical convolution is defined through the sifting property of the Dirac delta on the sphere. The so-called sifting convolution is defined by the inner product of one function with a translated version of another, but with the adoption of an alternative translation operator on the sphere. This translation operator follows by analogy with the Euclidean translation when viewed in harmonic space. The sifting convolution satisfies a variety of desirable properties that are lacking in alternate definitions, namely: it supports directional kernels; it has an output which remains on the sphere; and is efficient to compute. An illustration of the sifting convolution on a topographic map of the Earth demonstrates that it supports directional kernels to perform anisotropic filtering, while its output remains on the sphere.
Keywords:
Convolution
Harmonic analysis
Kernel
Standards
Transforms
Hilbert space
Three-dimensional displays
Convolution
2-sphere
spherical harmonics
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

U
university of london
Scholars:
21.5W
Papers: 19.7W
Citations: 305
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