Code covered by the BSD License  

Highlights from
simple compressed sensing example

3.0 | 3 ratings Rate this file 80 Downloads (last 30 days) File Size: 2.51 KB File ID: #41792 Version: 1.0
image thumbnail

simple compressed sensing example



Illustrative 'toy' example of compressed sensing applied to image data.

| Watch this File

File Information

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.

MATLAB release MATLAB 7.14 (R2012a)
Tags for This File   Please login to tag files.
Please login to add a comment or rating.
Comments and Ratings (4)
13 Oct 2014 Saeid Hosseini  
12 Jun 2014 Stuart Gibson

Roy, the matrix equation is solved using the MATLAB toolbox l_1-MAGIC: Recovery of Sparse Signals via Convex Programming v1.11 by J. Candes and J. Romberg, Caltech, 2005. Please refer to the authors for details. p.s. This reference was provided in my code comments. You can download the MATLAB toolbox l_1-MAGIC software from here:

Comment only
11 Jun 2014 roy

roy (view profile)

No information on l1 toolbox. How do you actually reconstruct.

04 Jun 2014 Pedro Dreyer  

Contact us