Graph Signal Processing

Provides the standard operations for signal processing on graphs: graph Fourier transform, spectral graph wavelet transform, visualization tools. It also implements a data driven method for graph signal denoising/regression, for details see De Loynes, Navarro, Olivier (2019) .


Reference manual

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1.0.1 by Fabien Navarro, 4 months ago

Browse source code at

Authors: Fabien Navarro [aut, cre] , Basile De Loynes [aut] , Baptiste Olivier [aut]

Documentation:   PDF Manual  

LGPL (>= 2) license

Imports scatterplot3d, rwavelet, Rcpp, ggplot2

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

See at CRAN