Package: GSD
Type: Package
Title: Graph Signal Decomposition
Version: 1.0.0
Date: 2024-02-04
Authors@R: c(person("Hyeonglae", "Cho", role = "aut", email="jhl0580@snu.ac.kr"),
             person("Hee-Seok", "Oh", role = "aut", email = "heeseok@stats.snu.ac.kr"),           
             person("Donghoh", "Kim", role = c("aut", "cre"), email = "donghoh.kim@gmail.com"))
Author: Hyeonglae Cho [aut], Hee-Seok Oh [aut], Donghoh Kim [aut, cre]
Maintainer: Donghoh Kim <donghoh.kim@gmail.com>
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) <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".
Depends: R (>= 3.5.0), igraph, Matrix, EbayesThresh, ggplot2
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://dkimstatlab.r-universe.dev
Date/Publication: 2024-02-11 07:27:05 UTC
RemoteUrl: https://github.com/dkimstatlab/gsd
RemoteRef: HEAD
RemoteSha: 71ddd75408a59c577b91db0a0986124b79b3e0af
Packaged: 2026-07-02 06:26:28 UTC; root