文件名称:TwIST_v2
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- 上传时间:2011-04-21
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% demo_l2_l1 - This demo illustrates the TwIST % algorithm in the l2-l1 optimization problem % % xe = arg min 0.5*||A x-y||^2 + tau ||x||_1 % x % % where A is a generic matrix and ||.||_1 is the l1 norm. % After obtaining the solution we implement a debias phase % % For further details about the TwIST algorithm, see the paper: % % J. Bioucas-Dias and M. Figueiredo, "A New TwIST: Two-Step % Iterative Shrinkage/Thresholding Algorithms for Image % Restoration", IEEE Transactions on Image processing, 2007. % %% % Please check for the latest version of the code and papers at % www.lx.it.pt/~bioucas/TwIST % % Authors: Jose Bioucas-Dias and Mario Figueiredo, % Instituto Superior T閏nico, October, 2007
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压缩包 : TwIST_v2.zip 列表 TwIST_v2/conv2c.m TwIST_v2/demo_l2_l0.m TwIST_v2/demo_l2_l1.m TwIST_v2/demo_l2_l1_debias.m TwIST_v2/demo_l2_TV.m TwIST_v2/demo_MRI.m TwIST_v2/demo_Piecewise_cubic_polynomial.m TwIST_v2/demo_sinusoids_l2_l1.m TwIST_v2/demo_wave_DWT_deconv.m TwIST_v2/diffh.m TwIST_v2/diffv.m TwIST_v2/hard.m TwIST_v2/l0norm.m TwIST_v2/masked_FFT.m TwIST_v2/masked_FFT_t.m TwIST_v2/mex_vartotale.dll TwIST_v2/mex_vartotale.m TwIST_v2/MRImask.m TwIST_v2/README.txt TwIST_v2/soft.m TwIST_v2/tvdenoise.m TwIST_v2/TVnorm.m TwIST_v2/TwIST.m TwIST_v2/
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