文件名称:Compressive_Sensing
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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.
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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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| Compressive_Sensing.m | 920 | 2011-11-18 |
| license.txt | 1314 | 2014-02-12 |