simple compressed sensing example
MATLAB implementation of compressive sensing example as described in R.Baraniuk, Compressive Sensing, IEEE Signal Processing Magazine, [118], July 2007. The code acquires 250 averaged random measurements of a 2500 pixel image. We assume that the image has a sparse representation in the DCT domain (not very sparse in practice). Hence the image can be recovered from its compressed form using basis pursuit.
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Stuart Gibson (2024). simple compressed sensing example (https://www.mathworks.com/matlabcentral/fileexchange/41792-simple-compressed-sensing-example), MATLAB Central File Exchange. Retrieved .
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