Code covered by the BSD License
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GenProb(m,n,k)
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lsqr(A,b,tol,maxit,M1,M2,x0,v...
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rwlspq(A,y,p,q)
Solution to the non-convex optimization problem min||x||_p subject to
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demo.m
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View all files
Non Convex Compressed Sensing for Non Gaussian Noise
by Angshul Majumdar
21 Jul 2009
(Updated 04 Aug 2009)
optimization of the form
min ||x||_p subject to ||y-Ax||_q<e
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| File Information |
| Description |
optimization of the form
min ||x||_p subject to ||y-Ax||_q<e
p should be between 0 and 1 to promote sparsity.
q should be decided by the type of noise:
Gaussian 2
Speckle 1
Poisson 3
Before using this toolbox please replace the lsqr.m file in your matlab toolbox sparfun with the lsqr.m provided with this package.
Please add Sparco from www.cs.ubc.ca/labs/scl/sparco/
to ur matlab path for operators |
| MATLAB release |
MATLAB 7.5 (R2007b)
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| Updates |
| 04 Aug 2009 |
Added dependency |
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