文件列表:

demo_spikes_high_tau.m (5015, 2009-01-15)
demo_group_Linf.m (3578, 2009-01-15)
soft.m (123, 2007-12-13)
group_linf_norm.m (712, 2007-10-04)
group_L2_Linf_shrink.m (749, 2007-10-04)
L2_Linf_shrink.m (1615, 2007-10-04)
group_l2norm.m (708, 2007-10-04)
group_vector_soft.m (744, 2007-10-04)
vector_soft.m (147, 2007-10-04)
fpc.m (8680, 2007-09-11)
fpc_opts.m (4080, 2007-09-11)
l1_ls.m (8569, 2007-06-16)
Measurements (0, 2008-09-17)
Measurements\.DS_Store (6148, 2008-09-09)
Measurements\Aswitch.m (178, 2008-09-12)
Measurements\At_dct.m (128, 2008-09-09)
Measurements\A_dct.m (102, 2008-09-09)
demo_high_dynamic_range.m (3525, 2009-01-20)
operator4fpc.m (158, 2009-01-19)
demo_spikes_low_tau.m (7960, 2009-01-19)
SpaRSA.m (27774, 2009-01-19)
.DS_Store (6148, 2009-01-16)
GPSR_BB.m (23882, 2009-01-16)
demo_group_L2.m (3242, 2009-01-15)
demo_complex_l2_l1.m (3424, 2009-01-15)

SpaRSA 2.0 January 15, 2009 --------------------------------------------------------------------------- Copyright (2007): Stephen Wright, Robert Nowak, and Mario Figueiredo. SpaRSA is distributed under the terms of the GNU General Public License 2.0. Permission to use, copy, modify, and distribute this software for any purpose without fee is hereby granted, provided that this entire notice is included in all copies of any software which is or includes a copy or modification of this software and in all copies of the supporting documentation for such software. This software is being provided "as is", without any express or implied warranty. In particular, the authors do not make any representation or warranty of any kind concerning the merchantability of this software or its fitness for any particular purpose." --------------------------------------------------------------------------- This set of MATLAB files contain an implementation of the algorithms described in the paper "Sparse Reconstruction by Separable Approximation", by Stephen Wright, Robert Nowak, and Mario Figueiredo. Both the paper and the code are available at http://www.lx.it.pt/~mtf/SpaRSA/ The algorithm itself is in file SpaRSA.m For usage details, type "help SpaRSA" at the MATLAB prompt. There are 5 demos included, which illustrate how to use the algorithm in some of the examples presented in the paper. This package also includes the following two algorithms by other authors (to allow running the comparative tests): The l1_ls algorithm, which is described and can be downloaded from http://www.stanford.edu/~boyd/l1_ls/ The FPC algorithm, which can be downloaded from http://www.caam.rice.edu/~optimization/L1/fpc/fpc.zip This code is in development stage; any comments or bug reports are very welcome. Contacts: mario.figueiredo@lx.it.pt nowak@ece.wisc.edu swright@cs.wisc.edu

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