Skip to content
/ HRP Public

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.

Notifications You must be signed in to change notification settings

yokoxue/HRP

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

59 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

HRP

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.[paper]

If you find they are useful, please cite:

@ARTICLE{9470930,
  author={Xue, Ye and Lau, Vincent K. N. and Cai, Songfu},
  journal={IEEE Transactions on Signal Processing}, 
  title={Efficient Sparse Coding using Hierarchical Riemannian Pursuit}, 
  year={2021},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TSP.2021.3093769}}

1.0 Prerequisites

  • Matlab

  • KSVD Matlab toolbox (for Baseline 1)

Download KSVD v13 from https://www.cs.technion.ac.il/~ronrubin/software.html and install (OMP-Box v10 is required).

  • SPAMS Matlab toolbox v2.6 (for Baseline 2)

Download SPAMS from http://spams-devel.gforge.inria.fr/downloads.html. Follow the steps in https://github.com/xhm1014/spams-matlab-install-on-win10 to install.

  • CVX Matlab toolbox (for Baseline 4)

Download CVX toobox from http://cvxr.com/cvx/ and install.

2.0 Generate the results for the convergence curves

Run Converge_sim.m in the folder curve_convergence.

3.0 Generate the results for the sample complexity curves

Run Sample_sim.m in the folder curve_samplecomplexity.

4.0 Generate the results for the RMSE heatmap with synthetic data

  • Unzip the .zip files in the folder heatmap_synthetic.
  • Run Syndata_main.m in the folder heatmap_synthetic.

5.0 Generate the results for the table with real-world sensor data

About

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published