Description: an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech
- [simplex] - Use simplex method to solve linear progr
- [fpc] - FPC algorithm for signal de-noising, com
- [PSNR] - Image processing, image the peak signal
- [focuss-cndl] - focuss algorithm on the sparse image dec
- [BP] - Sparse decomposition on a number of refe
- [ksvd_train_for_mix] - Use the ksvdbox12 to construct sparse ov
- [subspace] - This a compressed sensing area, a recons
- [l1magic] - The matlab implement of the reconstructi
- [111] - This your perception image compression a
- [CS] - Written in compressed sensing Matlab lib
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dct_cs.m
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