wind_dirct_drive_

一个很好的MATLAB源代码——OMP，OMP算法的改进之处在于：在分解的每一步对所选择的全部原子进行正交化处理，这使得在精度要求相同的情况下，OMP算法的收敛速度更快。(A good MATLAB source code-- OMP, OMP algorithm improvement lies in: every step of the decomposition of orthogonalization processing all of the selected atoms, which makes the accuracy requirement of the same circumstances, the OMP algorithm s convergence speed is faster. )

matlab实用程序百例,这个主要是平时经常用到的一些程序!(matlab utility hundred cases, the principle is often used some of the programs in peacetime!)

Libelas(大规模高效立体匹配库)是cross-platfrom c++ 图书馆与MATLAB计算包装差异大的地图图像。输入 是一双纠正灰度立体图像的大小相同。输出相应的 差距的地图。(Libelas (LIBrary for Efficient LArge-scale Stereo matching) is a cross-platfrom C++ library with MATLAB wrappers for computing disparity maps of large images. Input is a rectified greyscale stereo image pair of same size. Output are the corresponding disparity maps.)

本例子用于计算bouc-wen模型的动力响应(This example is used to calculate bouc- wen dynamic response of the model)

还是滤波器 不过是IIR的 还是在6X开发环境下的 调试过 (Or IIR filter is still in 6X debug development environment have been)

最大似然（ML）准则和最大后验概率（MAP）准则，毕设内容，高光谱图像基本处理，现代信号处理中谱估计在matlab中的使用。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Complete set content, basic hyperspectral image processing, Modern signal processing used in the spectral estimation in matlab.)

关于RFID的LANDMARC算法与加权计算平均功率的计算(About RFID' s LANDMARC algorithm and the calculation of weighted average power)

CFAR即恒虚警检测，是雷达信号处理领域的经典处理算法，其核心是在保证虚警概率一定的条件下，尽可能提高检测概率(CFAR that is constant false alarm detection, radar signal processing field of the classic algorithm, its core is to ensure that the false alarm probability of certain conditions, as far as possible to improve the detection probability)

％％％ Demos for PUMA algorithms ％％％ We present four matlab demos for PUMA. demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images. All you need to do is to run each of the demos. Please be sure that all the files are put on an accessible path for matlab. Notice that this code is intended for research purposes only. For further reference see "Phase Unwrapping via Graph Cuts, IEEE Transactions on Image Processing, 2007( Demos for PUMA algorithms We present four matlab demos for PUMA. Demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images.All you need to do is to run each of the demos . Please be sure thatall the files are put on an accessible path for matlab.Notice that this code is intended for research purposes only.For further reference see )

this folder contains a matlab code for wmr coding.