bayes

最速下降法的MATLAB源程序，不知道是否喜欢(Steepest descent method of the MATLAB source code, I do not know like it or not)

程序可实现高速目标运动下雷达回波的相参积累，主要针对匀加速运动的模型而言。(It is efficient to realize coherent accumulation when targets moves at high speed. )

projet de traitement d image avec matlab

绘制为彩色matlab图像，解决单一颜色不能形象描述的问题(Draw for color matlab image, solve the problem of single color can t image description )

基于W-SVD数字图像水印的源代码，还有用matlab程序编写的界面GUI，可以用来做科研实训或者参考着做毕设。(W-SVD digital image watermarking based on the source code, the interface of GUI with the MATLAB programming, can be used to do scientific research training or reference to do complete set.)

说明：  MATLAB 用函数实现图像直方图显示并比较不同插值得到的三幅图的差别(MATLAB with the function to achieve the image histogram display and compare different interpolation to be the difference between the three pictures)

matlab的基本应用，和基础知识，ppt形式的讲解。(matlab basic applications, and basic knowledge, ppt form of explanation.)

本书籍介绍了EMD信号处理方法在LabVIEW以及MATLAB中实现方法，简单易懂(This book introduces realization method of the EMD signal processing method in LabVIEW and MATLAB，simple and easy to understand)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

说明：  一个比较快速的阴影检测算法，基于HSV色彩空间(Shadow detection algorithm based on HSV color space)