Compressive Sensing Simple Example

Versión 1.0.0.0 (1,5 KB) por Marcos Bolanos
Matlab example of L1 Minimization for finding a sparse vector.
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Actualizado 17 nov 2011

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This very simple example of L1 minimization is reproduced for implementation on matlab. The original example was posted on Rip's Applied
Mathematics Blog on March 28, 2011 entitled "Compressed Sensing: the L1
norm finds sparse solutions".

One needs to download the L1-MAGIC package in order to perform the l1 minimization on matlab.

This example was very good for illustrating how L1 minimization can identify a sparse vector. Here x is the sparse vector. A is the kxN incoherent matrix and B are the coefficients. The example shows how we can find the original x. xp should be approximately equal to x.

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Marcos Bolanos (2024). Compressive Sensing Simple Example (https://www.mathworks.com/matlabcentral/fileexchange/33813-compressive-sensing-simple-example), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2011b
Compatible con cualquier versión
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1.0.0.0