资源列表
ID3
- 实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。-ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose
GPS-Matlab
- 一个GPS课程的全部代码，含有数据！很实用-MATLAB GPS scr iptS-- Charles Meertens and Doug Miller, U. Utah 3Jan95 These scr ipts were developed for/during a class in GPS and Active Tectonics Department of Geology and Geophysics, U. Utah, Spring, 1994 EXAMPLE RIN
MIMO-OFDM
- 内含多个MIMO-OFDM信道评估程序：MIMO-OFDM不同信道估计的对比、OFDMexample(程序源码和SIMULINK平台仿真)等！-Contains multiple MIMO-OFDM channel assessment procedure: MIMO-OFDM channel estimation with different contrast, OFDMexample (program source code and SIMULINK simulation platform)
compress edsensing OMP
- 压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像，他们把稀疏表示放在最重要的地方，以为在雷达成像中成功实现压缩感知关键是稀疏表示； 事实上并不是如此。我们知道：压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力；另外雷达成像的基础是雷达 信号与目标的相互作用，也就是电磁波与介质的相互作用，该相互作用是一个非常复杂的非线性问题，因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另外一个角度来看，雷达成像中惯用的方法是匹配滤波，
yalmip
- 国外专家做的求解LMI鲁棒控制的工具箱,可以相对高效的解决LMI问题-foreign tool box of matlab,good method to solve problem of robust LMI
StereoMatching
- 在Matlab平台上，通过NCC SSD SAD算法双目立体图像求视差图-In the Matlab platform, through the NCC SSD SAD algorithm for stereo disparity map image requesting
WuYufei_matlab
- turbo码研究人员不可避免的吴宇飞的升级版程序，对turbo码的算法和其他思想的结合，仿真效果对学好turbo码是一个捷径-turbo codes researchers an upgraded version of inevitable Wu Yufei procedures, turbo code algorithm and a combination of other ideas, simulation results of turbo code is a shortcut to lea
matlab
- C-W节约法的matlab实现源代码，解决vrp问题-CW Conservation Act of matlab implementation source code, to solve the problem vrp
vsp_forward
- 井中地震正演程序，matlab程序编写-Borehole seismic forward procedure, matlab programming
ssim
- matlab code of ssim of image quality
压缩感知的几种重构算法比较的源代码
- 压缩感知的几种重构算法比较的源代码 有OMP CoSaMP SP等 现有算法包括的比较全-Several compressed sensing reconstruction algorithm to compare the source code has OMP CoSaMP SP comparison of other existing algorithms, including full-
SAMP
- 压缩感知中的稀疏度自适应算法，针对稀疏度未知的情况进行迭代-sparsity adaptive matching pursuit