-
Notifications
You must be signed in to change notification settings - Fork 2
/
README.txt
50 lines (32 loc) · 1.57 KB
/
README.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
SGWT : Spectral Graph Wavelets Toolbox
(c) David Hammond, 2010
Primary Author : David Hammond ([email protected])
This toolbox contains code implementing the Spectral Graph Wavelet
Transform, a general framework for defining wavelet transforms for
data defined on vertices of a weighted graph. The algorithms
implemented here are described in detail in
"Wavelets on Graphs via Spectral Graph Theory"
David Hammond, Pierre Vandergheynst, Remi Gribonval,
Applied Computational Harmonic Analysis, 2010
doi : 10.1016/j.acha.2010.04.005
Installation of the toolbox is simple, simply unpack the directory.
For convenience you may edit the file sgwt_setpath.m to set the
SGWT_ROOT to the path of the sgwt_toolbox directory
Executing the script sgwt_setpath then adds all the needed paths to
the matlab search path.
Then, you may try running the demo's
>> sgwt_demo1
>> sgwt_demo2
>> sgwt_demo3
License :
The SGWT toolbox is a Matlab library released under the GPL.
The SGWT toolbox is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
The SGWT toolbox is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with the SGWT toolbox. If not, see <http://www.gnu.org/licenses/>.