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
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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