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cff-version: 1.2.0
message: "If you use this software, please cite both the software and the associated paper below."
title: "CSSD: Cubic smoothing splines for discontinuous signals"
version: 1.0.2
date-released: 2026-05-11
abstract: "Reference implementation (MATLAB and Rust/Python port) of cubic smoothing splines for signals with a priori unknown discontinuities. Solves a piecewise smoothing-spline model in which both the spline coefficients and the discontinuity set are estimated jointly via dynamic programming."
type: software
url: "https://github.com/mstorath/CSSD"
repository-code: "https://github.com/mstorath/CSSD"
license: MIT
authors:
- family-names: Storath
given-names: Martin
email: martin.storath@thws.de
orcid: "https://orcid.org/0000-0003-1427-0776"
affiliation: "Lab for Mathematical Methods in Computer Vision and Machine Learning, Technische Hochschule Würzburg-Schweinfurt"
- family-names: Weinmann
given-names: Andreas
email: andreas.weinmann@thws.de
orcid: "https://orcid.org/0000-0002-4969-7609"
affiliation: "Lab for Algorithms for Computer Vision, Imaging and Data Analysis, Technische Hochschule Würzburg-Schweinfurt"
preferred-citation:
type: article
title: "Smoothing splines for discontinuous signals"
authors:
- family-names: Storath
given-names: Martin
orcid: "https://orcid.org/0000-0003-1427-0776"
- family-names: Weinmann
given-names: Andreas
orcid: "https://orcid.org/0000-0002-4969-7609"
journal: "Journal of Computational and Graphical Statistics"
volume: 33
issue: 2
start: 651
end: 665
year: 2024
publisher:
name: "Taylor & Francis"
doi: "10.1080/10618600.2023.2262000"