| Name : R-GSD
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:50:38
|
| Group : Development/Libraries/Other
| Source RPM : R-GSD-1.0.0-lp153.1.4.src.rpm
|
| Size : 0.11 MB
| |
| Packager : (none)
| |
| Summary : Graph Signal Decomposition
|
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\".
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
