readme.txt

Bayesian Compressed Sensing

This set of Matlab (7.0) functions contain the core code for generating 
Fig.2 and Figs.4(a,b) of the following paper:

"Bayesian Compressive Sensing" 
Shihao Ji, Ya Xue, and Lawrence Carin (Preprint, 2007)

and Fig.2 and Fig.3 of the following paper:

"Multi-Task Compressive Sensing" 
Shihao Ji, David Dunson, and Lawrence Carin (Preprint, 2007)

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BCS_demo
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1) Fig2.m ---> generate Fig.2
     The following two Matlab files from l1-magic are required for BP implementation:
     l1qc_logbarrier.m
     l1qc_newton.m
     which can be found at: http://www.acm.caltech.edu/l1magic/

2) Fig4_ab.m ---> generate Figs.4(a,b)
     multi_random_measures.m     ----> generate the "Random" curve for Fig.4a
     multi_optimized_measures.m  ----> generate the "Optimized" curve for Fig.4a
     multi_approx_measures.m     ----> generate the "Approx." curve for Fig.4a

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MT_CS_demo
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1) Fig2.m ---> generate Fig.2

2) Fig3.m ---> generate Fig.3
     multi_runs_75.m     ----> generate the "MT 75%" curve for Fig.3
     multi_runs_50.m     ----> generate the "MT 50%" curve for Fig.3
     multi_runs_25.m     ----> generate the "MT 25%" curve for Fig.3


The code is still in development stage. If you have any comments or bug reports, 
you are welcome to contact Shihao Ji at [e-mail].

Please check back at http://www.ece.duke.edu/~shji/BCS.html for updates.

Shihao Ji
Duke University, July 8, 2007

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