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GSD  

Graph Signal Decomposition
View on CRAN: Click here


Download and install GSD package within the R console
Install from CRAN:
install.packages("GSD")

Install from Github:
library("remotes")
install_github("cran/GSD")

Install by package version:
library("remotes")
install_version("GSD", "1.0.0")



Attach the package and use:
library("GSD")
Maintained by
Donghoh Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-05
Latest Update: 2024-02-05
Description:
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) , Shuman et al. (2013) , Tremblay et al. (2014) , and Cho et al. (2024) "Statistical graph empirical mode decomposition by graph denoising and boundary treatment".
How to cite:
Donghoh Kim (2024). GSD: Graph Signal Decomposition. R package version 1.0.0, https://cran.r-project.org/web/packages/GSD. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that GSD depends, imports, suggests or enhances
Complete documentation for GSD
Functions, R codes and Examples using the GSD R package
Some associated functions: adjmatrix . gextrema . gfdecomp . gftplot . ginterpolating . gplot . gsignal . gsmoothing . gsubway . sgemd . 
Some associated R codes: GSD_functions.R .  Full GSD package functions and examples
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