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The Multiscale Transforms for Signals on Graphs (MTSG) Toolbox contains MATLAB code for performing the HGLET and GHWT transforms on signals on graphs, as well as other related code.

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JeffLIrion/MTSG_Toolbox

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COPYRIGHT

Copyright 2015 The Regents of the University of California

Implemented by Jeff Irion (Adviser: Dr. Naoki Saito)

SETUP

To install the Multiscale Transforms for Signals on Graphs (MTSG) Toolbox, run MTSG_Path.m to add the toolbox files to Matlab's path. NOTE: you must run MTSG_Path.m prior to loading any GraphSig, GraphPart, or BasisSpec objects.

GETTING STARTED

Run ArticleFigures.m as a demonstration of what this toolbox is used for.
This script generates selected figures from the following articles:

  1. J. Irion and N. Saito, Hierarchical Graph Laplacian Eigen Transforms, Japan SIAM Letters, vol. 6, pp. 21-24, 2014.

  2. J. Irion and N. Saito, The Generalized Haar-Walsh Transform, Proc. 2014 IEEE Workshop on Statistical Signal Processing, pp. 472-475, 2014.

  3. J. Irion and N. Saito, Applied and Computational Harmonic Analysis on Graphs and Networks, Wavelets and Sparsity XVI, (M. Papadakis, V. K. Goyal, D. Van De Ville, eds.), Proc. SPIE 9597, Paper #95971F, Invited paper, 2015.

  4. J. Irion and N. Saito, Efficient Approximation and Denoising of Graph Signals Using the Multiscale Basis Dictionaries, IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 3, pp. 607-616, 2017.

You can also run DissertationFigures.m, which reproduces nearly all of the figures from my dissertation: Multiscale Transforms for Signals on Graphs: Methods and Applications.

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The Multiscale Transforms for Signals on Graphs (MTSG) Toolbox contains MATLAB code for performing the HGLET and GHWT transforms on signals on graphs, as well as other related code.

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