Achim, Alin and Karakus, Oktay ORCID: https://orcid.org/0000-0001-8009-9319 2020. Cauchy proximal splitting (CPS). University of Bristol. Available at: https://doi.org/10.5523/bris.15y437loa26cr2nx8gnn3... |
Official URL: https://doi.org/10.5523/bris.15y437loa26cr2nx8gnn3...
Abstract
These Matlab functions implement a proximal splitting method involving a non-convex penalty function based on the heavy-tailed Cauchy distribution. A function for calculating the proximal operator of the Cauchy prior is provided, and two examples are included to illustrate how to perform cost function optimisation with a forward-backward (FB) -based algorithm that implements the corresponding Cauchy proximal splitting (CPS) method. The two signal processing examples include 1D signal denoising in the frequency domain and image de-blurring.
Item Type: | Dataset |
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Date Type: | Published Online |
Status: | Published |
Schools: | Computer Science & Informatics |
Publisher: | University of Bristol |
Last Modified: | 19 May 2023 02:07 |
URI: | https://orca.cardiff.ac.uk/id/eprint/145199 |
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