Code underlying: Simplicial Convolutional Filters

DOI:10.4121/ee80e5cd-5ea0-47d5-afa5-ac061c6748f3.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/ee80e5cd-5ea0-47d5-afa5-ac061c6748f3

Datacite citation style

Yang, Maosheng (2025): Code underlying: Simplicial Convolutional Filters. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/ee80e5cd-5ea0-47d5-afa5-ac061c6748f3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

This implements the simplicial convolutional filters in Matlab, together with their design and applications. In this work, we have developed filters of processing data defined on the edge space of a simplicial 2-complex, and Fourier analysis of such signals. To achieve certain filtering, we proposed different ways of designing the required filters.

History

  • 2025-05-26 first online, published, posted

Publisher

4TU.ResearchData

Format

MATLAB/.m

Associated peer-reviewed publication

Simplicial Convolutional Filters

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/1c8621e9-11e7-45ff-a223-ce975871e304.git "simplicial_convolutions"

Or download the latest commit as a ZIP.