登录
首页 » matlab » SparseLab200-Core

SparseLab200-Core

于 2007-08-23 发布 文件大小:908KB
0 237
下载积分: 1 下载次数: 145

代码说明:

  SparseLab is a Matlab software package designed to find sparse solutions to systems of linear equations, particularly underdetermined systems.

文件列表:

SparseLab200-Core
.................\SparseLab200-Core
.................\.................\CompSense
.................\.................\.........\CompSense_Elad_IEEETSP.pdf
.................\.................\.........\CompSense_Fig2.m
.................\.................\.........\CompSense_Fig3.m
.................\.................\.........\CompSense_Fig4.m
.................\.................\.........\CompSense_Fig5.m
.................\.................\.........\CompSense_Fig6.m
.................\.................\.........\CompSense_Fig7.m
.................\.................\.........\mulmd.m
.................\.................\Contents.m
.................\.................\Documentation
.................\.................\.............\AboutSparseLab
.................\.................\.............\..............\AboutSparseLab.aux
.................\.................\.............\..............\AboutSparseLab.dvi
.................\.................\.............\..............\AboutSparseLab.log
.................\.................\.............\..............\AboutSparseLab.pdf
.................\.................\.............\..............\AboutSparseLab.ps
.................\.................\.............\..............\AboutSparseLab.tex
.................\.................\.............\..............\AboutSparseLab.toc
.................\.................\.............\..............\Contents.m
.................\.................\.............\..............\References.tex
.................\.................\.............\..............\SparseMacros.tex
.................\.................\.............\ADDINGNEWFEATURES.m
.................\.................\.............\BUGREPORT.m
.................\.................\.............\Contents.m
.................\.................\.............\COPYING.m
.................\.................\.............\DATASTRUCTURES.m
.................\.................\.............\FEEDBACK.m
.................\.................\.............\GETTINGSTARTED.m
.................\.................\.............\INSTALLATION.m
.................\.................\.............\LIMITATIONS.m
.................\.................\.............\PAYMENT.m
.................\.................\.............\REGISTRATION.m
.................\.................\.............\SparseLabArchitecture
.................\.................\.............\.....................\Contents.m
.................\.................\.............\.....................\SparseArch.aux
.................\.................\.............\.....................\SparseArch.dvi
.................\.................\.............\.....................\SparseArch.log
.................\.................\.............\.....................\SparseArch.pdf
.................\.................\.............\.....................\SparseArch.ps
.................\.................\.............\.....................\SparseArch.tex
.................\.................\.............\.....................\SparseMacros.tex
.................\.................\.............\SUPPORT.m
.................\.................\.............\THANKS.m
.................\.................\.............\VERSION.m
.................\.................\.............\WARRANTY.m
.................\.................\Examples
.................\.................\........\Contents.m
.................\.................\........\nnfEx
.................\.................\........\.....\Contents.m
.................\.................\........\.....\FastOp.m
.................\.................\........\.....\NNF.m
.................\.................\........\.....\SolveIterSoftThresh.m
.................\.................\........\reconstructionEx
.................\.................\........\................\Contents.m
.................\.................\........\................\FastOp.m
.................\.................\........\................\FastOpLS.m
.................\.................\........\................\Reconstruction.m
.................\.................\........\................\TransformSparsify.m
.................\.................\........\RegEx
.................\.................\........\.....\Contents.m
.................\.................\........\.....\RegEx.m
.................\.................\........\.....\RegEx01.m
.................\.................\........\.....\RegEx02.m
.................\.................\........\.....\RegEx03.m
.................\.................\........\.....\RegEx04.m
.................\.................\........\.....\RegExShowAllFigs.m
.................\.................\........\TFDecompEx
.................\.................\........\..........\Contents.m
.................\.................\........\..........\RST.m
.................\.................\........\..........\RSTMatrix.m
.................\.................\........\..........\TFDecompEX.m
.................\.................\shell_tools
.................\.................\...........\append_footer.sh
.................\.................\...........\Contents.m
.................\.................\...........\SparseLab_Footer.txt
.................\.................\Solvers
.................\.................\.......\Contents.m
.................\.................\.......\fdrthresh.m
.................\.................\.......\HardThresh.m
.................\.................\.......\lsqrms.m
.................\.................\.......\pdco.m
.................\.................\.......\pdcoSet.m
.................\.................\.......\SoftThresh.m
.................\.................\.......\SolveBP.m
.................\.................\.......\SolveIRWLS.m
.................\.................\.......\SolveIST.m
.................\.................\.......\SolveISTBlock.m
.................\.................\.......\SolveLasso.m
.................\.................\.......\SolveMP.m
.................\.................\.......\SolveOMP.m
.................\.................\.......\SolvePFP.m
.................\.................\.......\SolveStepwise.m
.................\.................\.......\SolveStepwiseFDR.m
.................\.................\.......\SolveStOMP.m
.................\.................\SparsePath.m
.................\.................\Tests
.................\.................\.....\Contents.m

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • MatlabK954
    Matlab Kalman filter
    2012-03-22 18:44:25下载
    积分:1
  • matlab
    基于MATLAB的图像数字水印技术源代码,使用的是英文的解说,看懂应该没有什么问题,dct域和DTF域的(MATLAB-based image watermarking technology source code, using the English definition should read no problem, dct domain and domain DTF)
    2011-05-09 14:53:49下载
    积分:1
  • MATLABRLS
    matlab的最小二乘递推算法演示,以及工程应用实例(recursive least squares algorithm matlab demo, as well as examples of engineering applications)
    2008-04-28 18:40:42下载
    积分:1
  • A-Genetic-Algorithm-Based-Low-Voltage
    A Genetic Algorithm-Based Low Voltage Ride-Through Control Strategy for Grid Connected Doubly Fed Induction Wind Generators
    2014-08-29 18:12:05下载
    积分:1
  • euclideanDistance
    euclidean Distance
    2009-05-18 23:10:22下载
    积分:1
  • filterbank
    proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature
    2012-03-25 21:18:38下载
    积分:1
  • DblSimpson
    在MATLAB中用复合辛普森公式求函数的二重数值积分。(realizing double integral by Complex Simpsons Formula in MATLAB)
    2013-07-18 22:42:32下载
    积分:1
  • chapter10
    matlab 中一些很用的代码,数值分析于应用。(matlab code, numerical analysis on the application.)
    2013-04-27 10:39:21下载
    积分:1
  • work
    模式识别中的K均值算法,对数据进行归类。程序中,使用了二维数据进行分类。通过修改参数,也可以支持三维或是更高维数的分类。(the K-means algorithm for Pattern Recognition )
    2009-02-28 15:18:51下载
    积分:1
  • ZeroOneprog
    零一法求解整数规划,matlab 零一法求解整数规划,matlab(zeroone for integer program )
    2013-01-11 07:13:28下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载