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gasper (version 1.1.6)

Graph Signal Processing

Description

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) . The package also provides an interface to the SuiteSparse Matrix Collection, , a large and widely used set of sparse matrix benchmarks collected from a wide range of applications.

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Install

install.packages('gasper')

Monthly Downloads

258

Version

1.1.6

License

LGPL (>= 2)

Issues

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Maintainer

Fabien Navarro

Last Published

February 28th, 2024

Functions in gasper (1.1.6)

gasper-package

gasper: Graph Signal Processing
eigendec

Spectral decomposition of a symetric matrix
get_graph_info

Retrieve Information Tables about a Specific Graph from the SuiteSparse Matrix Collection
pittsburgh

Pittsburgh Census Tracts Network.
inverse_gft

Compute Inverse Graph Fourier Transform
plot_filter

Plot Tight-Frame Filters
inverse_sgwt

Compute Inverse Spectral Graph Wavelet Transform
swissroll

Swiss Roll Graph Generation
smoothmodulus

Modulus of Smoothness for Graph Signal
synthesis

Compute the Synthesis Operator for Transform Coefficients
localize_gft

Localize Kernel at a Graph Vertex Using GFT
spectral_coords

Spectral Coordinates for Graph Drawing
laplacian_mat

Compute the Graph Laplacian Matrix
grid1

Grid1 Graph from AG-Monien Graph Collection
localize_sgwt

Localize a Kernel at a Specific Vertex using SGWT
plot_signal

Plot a Signal on Top of a Given Graph
plot_graph

Plot Graph
minnesota

Minnesota Road Network
rlogo

R logo graph.
randsignal

Generate Random Signal with Varying Regularity
tight_frame

Tight-Frame Computation
zetav

Evaluate Localized Tight-Frame Filter Functions
PSNR

Compute the Peak Signal to Noise Ratio
GVN

Graph Von Neumann Variance Estimator
HPFVN

High Pass Filter Von Neumann Estimator
SURE_MSEthresh

Stein's Unbiased Risk Estimate with MSE
adjacency_mat

Compute the Adjacency Matrix of a Gaussian Weighted Graph
NYCdata

NYC Taxi Network Dataset
SUREthresh

Stein's Unbiased Risk Estimate
SNR

Compute the Signal to Noise Ratio
LD_SUREthresh

Level Dependent Stein's Unbiased Risk Estimate Thresholding
SuiteSparseData

Matrix Data from SuiteSparse Matrix Collection
forward_gft

Compute Forward Graph Fourier Transform
analysis

Compute the Analysis Operator for a Graph Signal
fullup

Convert Symmetric Sparse Matrix to Full Matrix
full

Conversion of Symmetric Sparse Matrix to Full Matrix
eigensort

Spectral Decomposition of a Symmetric Matrix
forward_sgwt

Compute Forward Spectral Graph Wavelet Transform
betathresh

Apply Beta Threshold to Data
download_graph

Download Sparse Matrix form the SuiteSparse Matrix Collection