4-chapter

所属分类:matlab编程
开发工具:matlab
文件大小:501KB
下载次数:42
上传日期:2013-11-10 17:11:41
上 传 者coldmooon
说明:  信号稀疏度检测的matlab仿真程序。该方法能够检测出宽带信号的稀疏度,保证Compressive Sensing在宽带频谱检测中的准确运用。
(Signal sparsity detection matlab simulation program. The method can detect the wideband signal sparsity ensure Compressive Sensing wideband spectrum sensing in the exact use.)

文件列表:
第四章\BCS_fast_rvm.m (5495, 2013-01-08)
第四章\comparison.m (1646, 2012-09-24)
第四章\dataget.m (7435, 2013-01-08)
第四章\duibi.m (1676, 2012-10-09)
第四章\fig_1.m (14609, 2013-01-08)
第四章\l1magic\.DS_Store (12292, 2011-04-26)
第四章\l1magic\Data\.DS_Store (6148, 2011-04-26)
第四章\l1magic\Data\boats.mat (65728, 2008-01-15)
第四章\l1magic\Data\camera.mat (65728, 2008-01-15)
第四章\l1magic\Data\RandomStates.mat (543, 2008-01-15)
第四章\l1magic\l1dantzig_example.m (955, 2008-01-15)
第四章\l1magic\l1decode_example.m (644, 2008-01-15)
第四章\l1magic\l1eq_example.m (1003, 2008-01-15)
第四章\l1magic\l1qc_example.m (1114, 2008-01-15)
第四章\l1magic\Measurements\.DS_Store (6148, 2011-04-26)
第四章\l1magic\Measurements\At_f.m (718, 2008-01-15)
第四章\l1magic\Measurements\At_fhp.m (613, 2008-01-15)
第四章\l1magic\Measurements\A_f.m (659, 2008-01-15)
第四章\l1magic\Measurements\A_fhp.m (576, 2008-01-15)
第四章\l1magic\Measurements\LineMask.m (832, 2008-01-15)
第四章\l1magic\Notes\.DS_Store (6148, 2011-04-26)
第四章\l1magic\Notes\Figs\CVS\Entries (740, 2008-01-15)
第四章\l1magic\Notes\Figs\CVS\Repository (18, 2008-01-15)
第四章\l1magic\Notes\Figs\CVS\Root (41, 2008-01-15)
第四章\l1magic\Notes\Figs\l1eqexample_minl2.eps (12278, 2008-01-15)
第四章\l1magic\Notes\Figs\l1eqexample_minl2.pdf (5382, 2008-01-15)
第四章\l1magic\Notes\Figs\l1eqexample_recovered.eps (11417, 2008-01-15)
第四章\l1magic\Notes\Figs\l1eqexample_recovered.pdf (3997, 2008-01-15)
第四章\l1magic\Notes\Figs\l1eqexample_signal.eps (11292, 2008-01-15)
第四章\l1magic\Notes\Figs\l1eqexample_signal.pdf (2850, 2008-01-15)
第四章\l1magic\Notes\Figs\phantom_backproj.eps (139404, 2008-01-15)
第四章\l1magic\Notes\Figs\phantom_backproj.pdf (8704, 2008-01-15)
第四章\l1magic\Notes\Figs\phantom_orig.eps (139400, 2008-01-15)
第四章\l1magic\Notes\Figs\phantom_orig.pdf (4068, 2008-01-15)
第四章\l1magic\Notes\Figs\phantom_sampling.eps (139404, 2008-01-15)
第四章\l1magic\Notes\Figs\phantom_sampling.pdf (5632, 2008-01-15)
第四章\l1magic\Notes\Figs\phantom_tv.eps (139398, 2008-01-15)
第四章\l1magic\Notes\Figs\phantom_tv.pdf (5450, 2008-01-15)
第四章\l1magic\Notes\l1magic.bib (6601, 2008-01-15)
第四章\l1magic\Notes\l1magic_notes.aux (4719, 2009-01-29)
... ...

l1 magic -------- This package contains code for solving seven optimization problems. A detailed explanation is given in the file l1magic.pdf. The main directory contains MATLAB m-files which contain simple examples for each of the recovery problems. They illustrate how the code should be used (it is fairly straightforward). The prefixes on the example files are as follows: "l1eq" = L1 minimization with equality constraints, "l1qc" = L1 minimization with quadratic (L2 norm) constraints, "l1decode" = L1 norm approximation (for channel decoding), "11dantzig" = L1 minimization with minimal residual correlation (the Dantzig selector). "tveq" = TV minimization with equality constraints, "tvqc" = TV minimization with quadratic constrains, "tvdantzig" = TV minimization with minimal residual correlation. The 'Optimization' directory contains the m-files for the actual interior-point optimization algorithms. The 'Measurements' directory contains implementations of some relevant large-scale measurement matrices that are used in the examples. The 'Data' directory contains test images for the examples. The code will only run on MATLAB 7.0 and higher. The incompatibility with previous versions comes from the way function handles are used. If you have questions or comments, please contact Justin Romberg Caltech, Applied and Computational Mathematics, jrom@acm.caltech.edu

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