An FFT for the 2-sphere and applications

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network (2018, methodology): “The key idea in Spherical CNNs is to generalize convolutions using the machinery of noncommutative harmonic analysis: employing a type of generalized SO(3) Fourier transform [16, 17], Spherical CNNs transform the image to a sequence of matrices, and compute the spherical analog of convolution in Fou”
FFTs for the 2-Sphere-Improvements and Variations (1996, background): “The papers [28, 27, 43] give some indication of the wide variety of applications being found for these generalized FFTs.”
Theory and design of high order sound field microphones using spherical microphone array (2002, methodology): “Since these available coordinates of points on the sphere are not accurately equidistance to each other but optimum in some way, we may have to use a higher Q than the minimum number given by (6).”