This software package is a Matlab implementation of the Analysis SimCO dictionary learning algorithms (including primitive Analysis SimCO and Incoherent Analysis SimCO) and a comparison with several baseline analysis dictionary learning algorithms such as Analysis K-SVD, LOST, GOAL, AOL, TK-SVD, etc.
The folder "ASimCO" contains the following three sub-folders:-
Core_files: contains the implementation of the Analysis SimCO algorithms as well as some baseline algorithms compared in the reference given below.
Sample_test: contains two examples on how to use the Analysis SimCO algorithms - one for image denoising, and the other for dictionary recovery for synthetically generated data.
Test_files: containts the comprehensive tests performed for generating the results in the paper referenced below.
More details can be found in the following paper:
The codes & data have also been deposited to http://dx.doi.org/10.15126/surreydata.00808101.
Written by Jing Dong, moderated by Wenwu Wang, version 1.0
If you have any questions or comments regarding this package, or if you want to report any bugs or unexpected error messages, please send an e-mail to firstname.lastname@example.org
Copyright 2015 J. Dong, W. Wang, W. Dai, M. D. Plumbley, Z. Han, and J. A. Chambers
This software is a free software distributed under the terms of the GNU Public License version 3 (http://www.gnu.org/licenses/gpl.txt). You can redistribute it and/or modify it under the terms of this licence, for personal and non-commercial use and research purpose.
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