smoothmodulus

Compute the modulus of smoothness of a graph signal.

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

smoothmodulus function

<dl><dt>f</dt>
<dd>Signal.</dd>
<dt>A</dt>
<dd>Adjacency matrix (sparse or dense).</dd></dl>

Arguments

Modulus of smoothness. — smoothmodulus

<dl>

<dt>f</dt>
<dd>Signal.</dd>


<dt>A</dt>
<dd>Adjacency matrix (sparse or dense).</dd>

</dl>

smoothmodulus: Modulus of smoothness.

Description

Usage

Arguments

Examples