generation

MATLAB源码，P0201：MATLAB赋值 P0202：MATLAB中的for循环 P0203：MATLAB中的for循环和if条件 P0205：MATLAB图像处理的基本操作 P0206：MATLAB高级图像处理操作 P0207：根据RGB图像创建一幅灰度图像 P0208：二值图像的取反操作 P0209：用imshow函数显示图像 P0210：在同一个窗口内显示两幅图像(MATLAB source code, P0201 : MATLAB assignment P0202 : MATLAB for the cycle P0203 : MATLAB for the cycle, and if conditions P0205 : MATLAB image processing basic operation P0206 : High MATLAB image processing P0207 : According to RGB images to create a gray-scale image P0208 : binary images from the operation of the anti-P0209 : use imshow function displays images P0210 : in the same window shows two images)

模拟退火应用算法 可以用于一部分信号的处理(Application of simulated annealing algorithm)

弹性波在饱和多孔介质中传播的BISQ模型MATLAB源码(BISQ model MATLAB source code for elastic waves propagating in saturated porous media)

基于灰色关联系数的模糊层次分析法。两种方法的综合运用，MATLAB编写，方便实用。(Correlation coefficient based on the fuzzy gray level analysis. Comprehensive use of the two methods, MATLAB prepared, convenient and practical.)

数字识别，用MATLAB编程实现，十分有用(Digital Identification, using MATLAB programming, very helpful)

可以提取出图像中的红色信息，坐标空间变换（直角坐标系到极坐标系），彩色模型变换（RGB到HSI）(Red information can be extracted in the image coordinate space transform (Cartesian coordinates to polar coordinates), color model transformation (RGB to HSI))

多输出的支持向量机matlab代码, 常规的svm是单输出，这个是多输出( Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent. )

这个是用来安装matlab的文档希望对大家有所帮助！(we have a dream ,this i nobody~!)

The book is about internet based control systems in which the control action and sensor information are transmitted through the internet.

运用帧间差法检测，基于kalman滤波的目标跟踪。(Use of the inter-frame difference method detection, based kalman filtering target tracking.)