Blind Hierarchical Deconvolution

The dataset used in the paper is a blind hierarchical deconvolution problem, where the goal is to deconvolve a signal from its noisy measurements. The dataset consists of four simulations with different noise levels and convolution kernel widths.

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Cite this as

A. Arjas, L. Roininen, M. J. Sillanpää, A. Hauptmann (2024). Dataset: Blind Hierarchical Deconvolution. https://doi.org/10.57702/nqpf9b22

DOI retrieved: December 3, 2024

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2007.11391
Author A. Arjas
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L. Roininen
M. J. Sillanpää
A. Hauptmann