| 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 | 
|---|---|
| Date Type: | Published Online | 
| Status: | Published | 
| Schools: | 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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