tight_frame

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

tight_frame function

<dl><dt>evalues</dt>
<dd>Eigenvalues of the Laplacian matrix.</dd>
<dt>evectors</dt>
<dd>Eigenvectors of the Laplacian matrix.</dd>
<dt>b</dt>
<dd>Parameter that control the number of scales.</dd></dl>

Arguments

Tight-frame computation. — tight_frame

<dl>

<dt>evalues</dt>
<dd>Eigenvalues of the Laplacian matrix.</dd>


<dt>evectors</dt>
<dd>Eigenvectors of the Laplacian matrix.</dd>


<dt>b</dt>
<dd>Parameter that control the number of scales.</dd>

</dl>

tight_frame: Tight-frame computation.

Description

Usage

Arguments

References