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Non Convex Compressed Sensing for Non Gaussian Noise

version 1.1.0.0 (7.01 KB) by Angshul Majumdar
optimization of the form min ||x||_p subject to ||y-Ax||_q<e

3.1K Downloads

Updated 04 Aug 2009

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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 (2021). Non Convex Compressed Sensing for Non Gaussian Noise (https://www.mathworks.com/matlabcentral/fileexchange/24814-non-convex-compressed-sensing-for-non-gaussian-noise), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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