Code

Filter-banks on arbitrary graphs

• Matlab code for our 2023 TSP paper

3D point clouds

• Matlab code for our ICIP 2020 paper on compression of 3d point cloud attributes with the region adaptive graph Fourier transform (RAGFT).

• Matlab code for our 2024 3D point cloud sampling paper

• Matlab code for our 2023 ICIP and our 2025 Signal Processing papers on full reference 3D point cloud quality assessment

• Matlab code for our 2023 ICIP paper on Non-reference 3D point cloud quality assessment

Graph learning

• Combinatorial Graph Laplacian Estimator (CGLE) Matlab/C-mex code. This is an implementation of the algorithm from our 2019 Asilomar paper to estimate combinatorial graph Laplacian constrained precision matrices.

• Graph learning Matlab code for our IEEE TSIPN 2018 and IEEE JSTSP 2017 papers. If interested in the combinatorial graph Laplacian, the algorithm from Asilomar 2019 is faster and more accurate.

• Matlab code to estimate generalized graph Laplacians (GGL), also known as M-matrices, with topoogy properties (trees, bipartite, sparse) from our IEEE TSP 2018 paper.