Non Convex Compressed Sensing for Non Gaussian Noise

版本 1.1.0.0 (7.0 KB) 作者: Angshul Majumdar
optimization of the form min ||x||_p subject to ||y-Ax||_q<e
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更新时间 2009/8/4

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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

引用格式

Angshul Majumdar (2024). 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. 检索来源 .

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版本 已发布 发行说明
1.1.0.0

Added dependency

1.0.0.0