MATLAB

一个用C语言编写的导弹打飞机的追踪问题的源程序以及所使用的轨迹算法WORD文档-a C language prepared by the aircraft missile tracking the source and path used by the algorithm WORD

VC6开发的用于进行色谱分析的示例，搞色谱分析的可参考-VC6 development of the chromatographic analysis for example, engage in chromatographic analysis of reference

功能强大的gui,各种处理图像的程序，比如中值滤波、灰度化、格式转换、边缘检测等，并且列举了四个特别好的实例，比如人脸识别、车牌提取等(Powerful GUI, various programs for image processing, such as median filtering, grayscale, format conversion, edge detection, etc., and enumerate four very good examples, such as face recognition, license plate extraction, etc.)

说明：  利用C语言中二维数组，向用户索取一个矩阵并判断用户输入的矩阵是否为对称矩阵。(Using two-dimensional array in C language, a matrix is obtained from the user and whether the matrix input by the user is a symmetric matrix is judged.)

插件安装： 下载插件，将插件目录放入wp-content/plugins/目录下 插件管理页面激活插件 去模板widget页面增加blogshout的widget 在插件设置页面或者博客首页或者widget页面修改通告内容 -Plug-ins installed: Download plug-in, plug-ins directory Add to wp-content/plugins/directory under the plugin management page to activate plug-ins to increase blogshout page template widget in the widget plugin settings page or blog page or widget page modified circular content

说明：  Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。 结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly, a low-dimensional face space (pca) is created using training images. This is obtained by training principal component analysis (PCA) of image set and principal component analysis of image (i.e. eigenvectors with larger eigenvalues). As a result, all the test images are represented by the selected principal components, the Euclidean distance between the projected image and all the projected train images is calculated, and the minimum value is selected to find the training image most similar to the test image.)

jQuery实现超酷的菜单提示效果，也可用于链接提示，因为导航菜单本身是带有链接的，本款菜单可适时显示鼠标悬停时的菜单项的文字提示内容，且提示框样式漂亮，还有渐变动态效果，

说明：  生成正弦激励信号，用于模拟导波激励荷载的施加(Generate sinusoidal excitation signal to simulate the application of guided wave excitation load)

说明：  宽带匹配场信号处理方法研究，非常具有参考价值(Sonar Model Based Matched field procesing, broadband matched field processing)

请编写MATLAB程序用最优步长控制和变步长龙格-库塔-费尔别格（Runge-Kutta-Fehlberg）法求解如下刚体自由转动动力学方程：(Please write MATLAB to solve the following rigid body free rotation dynamics equation by using the most Uber long control and the transmud-kutt-fehlberg method:)