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Fast Expansion into Harmonics on the Disk

The dataset used in this paper is a set of L x L images representing functions on [-1, 1]^2 supported on the disk {x ∈ R^2 : |x| < 1}. The images are digitized and the authors present a fast and numerically accurate method for expanding these images into the harmonics (Dirichlet Laplacian eigenfunctions) on the disk.

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Cite this as

Nicholas F. Marshall, Oscar Mickelin, Amit Singer (2024). Dataset: Fast Expansion into Harmonics on the Disk. https://doi.org/10.57702/9iphe5mt

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2207.13674
Author	Nicholas F. Marshall
More Authors	Oscar Mickelin Amit Singer
Homepage	https://doi.org/10.1002/maa.201900301