wv_con

该程序用来对图像进行维纳滤波复原操作处理，用MATLAB实现。(the procedures used to image Wiener filter recovery operation, using MATLAB.)

说明：  多径多普勒信道模型，包括快衰落，慢衰落，频率选择性衰落，平坦衰落等(Multipath Doppler channel models include fast fading, slow fading, frequency-selective fading, flat fading, etc)

MATLAB5.3精彩编程与高级应用详细的介绍matlab的功能(MATLAB5.3 exciting programming and advanced applications in detail the function of matlab)

《滑模变结构控制MATLAB仿真》目前最新版的配套光盘中的matlab仿真程序，和适合做滑膜变结构的仿真，可以在基础上扩展，很好的低起点资料(" MATLAB simulation of sliding mode variable structure control," the latest edition of the companion CD matlab simulation program, and suitable for synovial variable structure simulation, you can expand on the foundation, a good starting point for information on low)

不同滚降系数条件下余弦滚降时域波形的比较。(Different roll-off factor conditions Cosine waveform comparison.)

利用Matlab及施工过程中采集的点云数据绘制网格图(Point cloud data collected in the use the Matlab and construction process to draw the grid map)

mosaic.rar拼接技术，matlab 源程序，希望有所帮助，(mosaic.rar splicing technology, matlab source code, hope that helps,)

Face Detection By GA- code contains fitness function prepared for face detection using genetic algorithm

BPSK qpsk MSK GMSK等仿真源程序，能直接出图！(BPSK qpsk MSK GMSK simulation source code, etc., can directly drawing!)

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)