13 citations · 20 across the 4 of their papers we have counts for
4 papers
SLEPLET: Slepian Scale-Discretised Wavelets in Python
Patrick J. Roddy
Wavelets are widely used in various disciplines to analyse signals both in space and scale. Whilst many fields measure data on manifolds (i.e., the sphere), often data are only obs…
Slepian Scale-Discretised Wavelets on Manifolds
Patrick J. Roddy, Jason D. McEwen
Inspired by recent interest in geometric deep learning, this work generalises the recently developed Slepian scale-discretised wavelets on the sphere to Riemannian manifolds. Throu…
Slepian Scale-Discretised Wavelets on the Sphere
Patrick J. Roddy, Jason D. McEwen
This work presents the construction of a novel spherical wavelet basis designed for incomplete spherical datasets, i.e. datasets which are missing in a particular region of the sph…
Sifting Convolution on the Sphere
Patrick J. Roddy, Jason D. McEwen
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 fun…