Difference between revisions of "Graph Fourier Transform Interactive GUI"
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==Getting Started== | ==Getting Started== | ||
− | * Before running GFT-IGUI you need to be sure you have installed the GSP ToolBox. | + | * Before running GFT-IGUI you need to be sure you have installed the [https://lts2.epfl.ch/gsp/ GSP ToolBox]. |
− | * After that you | + | * After that you need to create the following: |
+ | ** a graph structure using the GSP ToolBox | ||
+ | ** a plot parameters structure | ||
+ | ** a signal to be analyzed, and | ||
+ | ** call the GUI | ||
+ | |||
1 Sensor network example | 1 Sensor network example | ||
% Creating a graph structure using the GSP ToolBox | % Creating a graph structure using the GSP ToolBox | ||
G = gsp_sensor(10, param); | G = gsp_sensor(10, param); | ||
− | + | ||
% Defining plot parameters | % Defining plot parameters | ||
paramplot.show_edges = 1; | paramplot.show_edges = 1; | ||
Line 21: | Line 26: | ||
paramplot.vertex_size = 3; | paramplot.vertex_size = 3; | ||
paramplot.cp = [0 0 0]; | paramplot.cp = [0 0 0]; | ||
− | + | ||
% Defining a signal of the graph G to be analyzed by the GFT | % Defining a signal of the graph G to be analyzed by the GFT | ||
N = 10; | N = 10; | ||
f = rand(N,1)*20 + 60 + sin([1:N]'/5)*20; | f = rand(N,1)*20 + 60 + sin([1:N]'/5)*20; | ||
+ | |||
+ | % Call the GUI | ||
GFT_gui(G, f, paramplot) | GFT_gui(G, f, paramplot) | ||
+ | |||
+ | 2 Community graph example | ||
+ | |||
+ | % Creating the Graph | ||
+ | N = 12; | ||
+ | param.Nc = 3; | ||
+ | G = gsp_community(N); | ||
+ | |||
+ | % Creating plot parameters | ||
+ | paramplot.show_edges = 1; | ||
+ | |||
+ | % Creating the signal | ||
+ | f = rand(N,1); | ||
+ | |||
+ | % Call the GUI | ||
+ | GFT_gui(G, f, paramplot); | ||
== Contact == | == Contact == |
Revision as of 14:41, 30 September 2015
Contents
General Information
This website provides information about the software Graph Fourier Transform Interactive GUI which is developed in Matlab
Download
Click here to download the GFT-IGUI
Installation
- The code is written in Matlab(c) version R2014b.
- To install the code, simply unpack the directory in a Matlab folder.
Getting Started
- Before running GFT-IGUI you need to be sure you have installed the GSP ToolBox.
- After that you need to create the following:
- a graph structure using the GSP ToolBox
- a plot parameters structure
- a signal to be analyzed, and
- call the GUI
1 Sensor network example
% Creating a graph structure using the GSP ToolBox G = gsp_sensor(10, param); % Defining plot parameters paramplot.show_edges = 1; paramplot.bar = 1; paramplot.vertex_size = 3; paramplot.cp = [0 0 0]; % Defining a signal of the graph G to be analyzed by the GFT N = 10; f = rand(N,1)*20 + 60 + sin([1:N]'/5)*20; % Call the GUI GFT_gui(G, f, paramplot)
2 Community graph example
% Creating the Graph N = 12; param.Nc = 3; G = gsp_community(N); % Creating plot parameters paramplot.show_edges = 1; % Creating the signal f = rand(N,1); % Call the GUI GFT_gui(G, f, paramplot);
Contact
- Comments, questions or concerns should be directed to: Diego R. C. Silva (diego at ect dot ufrn dot br)
Acknowledgements
- This work was supported by CNPq