simple compressed sensing example

Version 1.0.0.0 (2.51 KB) by Stuart Gibson
Illustrative 'toy' example of compressed sensing applied to image data.
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Updated 20 May 2013

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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.

Cite As

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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Created with R2012a
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Version Published Release Notes
1.0.0.0