LS-SVM

the example source code for the pmw generate signal

underwatter communication

运用矩量法，计算平行方板（互联和非互联）的电参数，源代码详细(Using the method of moments to calculate the parallel side plates (Internet and non-Internet) the electrical parameters, source code detailed)

SP算法MATLAB源代码实现，算法中MATLAB源代码易懂最容易掌握的编码(SP algorithm MATLAB source code，Algorithm MATLAB source code to understand the easiest to master coding)

说明：  读取视频文件，读取一帧图像并检测图像中的汽车，使用循环逐帧对图像进行检测(read the videofrequency documents,then detect the cars in the picture,use the cycle to detect the picture.)

说明：  用matlab编写，已知函数，通过真实训练熟练数据来模仿函数输入输出之间的关系(Written with matlab, known function, through training of skilled real input and output data to imitate the function of the relationship between)

介绍了matlab坐标轴标注方法和设置特殊字体的方法(Matlab axis label describes the methods and ways to set a special font)

比较四分量信号的不同时频分布结果,小波分析。(Compare the results of time-frequency distribution of the four components of the signal)

harris角点检测,检测图像中的角点，可以用来匹配两幅图像(harris coner dictertor)

The local binary pattern (LBP) is a simple yet very efficient operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used together with other image descriptors