Coordinate descent for Compressed Sensing
This package has solvers for constrained and unconstrained L1 minimization, which is useful for compressed sensing.
u = COORDL1BREG(A,f,lambda) solves the minimization problem
min_u ||u||_1 subject to A*u = f
where A is an MxN matrix and f is a vector of length M. Input lambda is a positive parameter used within the algorithm.
u = COORDLSL1(A,f,lambda) solves the minimization problem
min_u ||u||_1 + lambda ||A*u - f||_2^2
Algorithms are based on greedy coordinate descent and the Bregman iterative method.
Cite As
Yingying Li (2024). Coordinate descent for Compressed Sensing (https://www.mathworks.com/matlabcentral/fileexchange/25680-coordinate-descent-for-compressed-sensing), MATLAB Central File Exchange. Retrieved .
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- Test and Measurement > Image Acquisition Toolbox > Image Data Acquisition >
- Image Processing and Computer Vision > Image Acquisition Toolbox > Image Data Acquisition >
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Version | Published | Release Notes | |
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1.0.0.0 |