Non Convex Compressed Sensing for Non Gaussian Noise

optimization of the form min ||x||_p subject to ||y-Ax||_q<e

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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

Cite As

Angshul Majumdar (2026). Non Convex Compressed Sensing for Non Gaussian Noise (https://uk.mathworks.com/matlabcentral/fileexchange/24814-non-convex-compressed-sensing-for-non-gaussian-noise), MATLAB Central File Exchange. Retrieved .

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General Information

MATLAB Release Compatibility

  • Compatible with any release

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  • Windows
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  • Linux
Version Published Release Notes Action
1.1.0.0

Added dependency

1.0.0.0