minnesota

A dataset containing the minnesota road network
(as well as the two signals).

datasets

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) <arxiv:1906.01882>.
The package also provides an interface to the SuiteSparse Matrix Collection,
<https://sparse.tamu.edu/>, a large and widely used set of sparse matrix
benchmarks collected from a wide range of applications.

Fabien Navarro

gasper

Graph Signal Processing

Basile de Loynes

Baptiste Olivier

minnesota function

list of 6 elements<dl>
<dt>xy</dt>
<dd>coordinates</dd><dt>A</dt>
<dd>adjacency matrix</dd><dt>sA</dt>
<dd>sparse version of A</dd><dt>f1</dt>
<dd>eta=0.01 and k=2</dd><dt>f2</dt>
<dd>eta = 0.001 and k=4</dd><dt>labels</dt>
<dd>labels</dd>
</dl>

minnesota: Minnesota road network.

Description

Usage

Arguments

Format