The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

GSD: Graph Signal Decomposition

Graph signals residing on the vertices of a graph have recently gained prominence in research in various fields. Many methodologies have been proposed to analyze graph signals by adapting classical signal processing tools. Recently, several notable graph signal decomposition methods have been proposed, which include graph Fourier decomposition based on graph Fourier transform, graph empirical mode decomposition, and statistical graph empirical mode decomposition. This package efficiently implements multiscale analysis applicable to various fields, and offers an effective tool for visualizing and decomposing graph signals. For the detailed methodology, see Ortega et al. (2018) <doi:10.1109/JPROC.2018.2820126>, Shuman et al. (2013) <doi:10.1109/MSP.2012.2235192>, Tremblay et al. (2014) <https://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569922141.pdf>, and Cho et al. (2024) "Statistical graph empirical mode decomposition by graph denoising and boundary treatment".

Version: 1.0.0
Depends: R (≥ 3.5.0), igraph, Matrix, EbayesThresh, ggplot2
Published: 2024-02-05
DOI: 10.32614/CRAN.package.GSD
Author: Hyeonglae Cho [aut], Hee-Seok Oh [aut], Donghoh Kim [aut, cre]
Maintainer: Donghoh Kim <donghoh.kim at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: GSD results

Documentation:

Reference manual: GSD.pdf

Downloads:

Package source: GSD_1.0.0.tar.gz
Windows binaries: r-devel: GSD_1.0.0.zip, r-release: GSD_1.0.0.zip, r-oldrel: GSD_1.0.0.zip
macOS binaries: r-release (arm64): GSD_1.0.0.tgz, r-oldrel (arm64): GSD_1.0.0.tgz, r-release (x86_64): GSD_1.0.0.tgz, r-oldrel (x86_64): GSD_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GSD to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.