A short instruction to run the code
1. download IMAGES.mat from http://redwood.berkeley.edu/bruno/sparsenet/
2. copy IMAGES.mat to ./data directory
3. move to ./code 
4. run matlab and execute:
        "demo_fast_sc(1)": epsilon-L1 sparsity penalty
        "demo_fast_sc(2)": L1 sparsity penalty

Note: You can apply sparse coding to any type of general data. See sparse_coding.m for details.


