TwIST_v2

说明：  迭代收缩/阈值（IST）算法是近年来提出的一类凸无约束优化问题和其它线性逆问题的一种新方法。这类问题是将线性观测模型与非二次正则化器（例如，全变差或基于小波的正则化）相结合的结果。这些算法的收敛速度很大程度上取决于线性观测算子的条件，当该算子病态时收敛速度变慢。(Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle a class of convex unconstrained optimization problems arising in image restoration and other linear inverse problems. This class of problems results from combining a linear observation model with a non-quadratic regularizer (e.g., total variation, or wavelet-based regularization). It happens that the convergence rate of these IST algorithms depends heavily on the condition of the linear observation operator, becoming very slow when this operator is ill-conditioned.)

TwIST_v2\TwIST_v2\conv2c.m, 1666 , 2007-07-31
TwIST_v2\TwIST_v2\demo_l2_l0.m, 2593 , 2007-11-23
TwIST_v2\TwIST_v2\demo_l2_l1.m, 4509 , 2007-11-23
TwIST_v2\TwIST_v2\demo_l2_l1_debias.m, 3434 , 2007-11-23
TwIST_v2\TwIST_v2\demo_l2_TV.m, 5380 , 2010-10-01
TwIST_v2\TwIST_v2\demo_MRI.m, 3649 , 2010-10-01
TwIST_v2\TwIST_v2\demo_Piecewise_cubic_polynomial.m, 3644 , 2007-11-21
TwIST_v2\TwIST_v2\demo_sinusoids_l2_l1.m, 4689 , 2010-04-07
TwIST_v2\TwIST_v2\demo_wave_DWT_deconv.m, 3408 , 2007-11-23
TwIST_v2\TwIST_v2\diffh.m, 52 , 2007-11-09
TwIST_v2\TwIST_v2\diffv.m, 53 , 2007-11-09
TwIST_v2\TwIST_v2\hard.m, 226 , 2007-10-17
TwIST_v2\TwIST_v2\l0norm.m, 96 , 2007-10-19
TwIST_v2\TwIST_v2\masked_FFT.m, 693 , 2007-11-09
TwIST_v2\TwIST_v2\masked_FFT_t.m, 435 , 2007-11-09
TwIST_v2\TwIST_v2\mex_vartotale.dll, 98304 , 2007-11-09
TwIST_v2\TwIST_v2\mex_vartotale.m, 1106 , 2007-07-31
TwIST_v2\TwIST_v2\MRImask.m, 477 , 2007-11-09
TwIST_v2\TwIST_v2\README.txt, 2468 , 2010-10-01
TwIST_v2\TwIST_v2\soft.m, 73 , 2007-10-18
TwIST_v2\TwIST_v2\tvdenoise.m, 2745 , 2010-10-01
TwIST_v2\TwIST_v2\TVnorm.m, 70 , 2007-11-09
TwIST_v2\TwIST_v2\TwIST.m, 22642 , 2007-11-20
TwIST_v2\TwIST_v2, 0 , 2010-10-01
TwIST_v2, 0 , 2020-11-03