MouHaiWei

适用于IEEE5，9,14,30节点的潮流计算程序，采用直角坐标系，牛拉法求解。(Applicable IEEE5, flow calculation program 9,14,30 nodes, using Cartesian coordinates, cattle Rafah solving.)

FIR 滤波器的自适应模拟，通过收敛性、学习曲线等方面对RLS 算法以及LMS 算法的不同特性进行了比较(FIR Filter simulation, through the convergence of the learning curve compared with the RLS algorithm, as well as the different characteristics of the LMS algorithm)

说明：  粒子滤波程序,对目标进行跟踪，附有状态方程和量测方程(PF)

各种图像处理的工具库，来自random walk的开发者。包括normalize cut, random walk等多种图像分割函数等。(Various image processing tool library, from the random walk of the developer. Include normalize cut, random walk and other functions such as image segmentation.)

关于高阶循环累积量的的程序，用于信号调制识别(high order cyclic cumum)

基于特征目标跟踪程序 matlab 程序(基于特征目标跟踪程序)

matlab的小波变换源代码 可以用来做图像分析(matlab wavelet transform source code can be used to make image analysis)

自己编写的55行精短情诗代码，呈现红色背景、白窗心形图案及动态U型符号，释义“Need you !”，码农也能文艺！(55 lines fine short poems codes, showing heart-shaped background and dynamic symbol-U,meaning "Need you!")

用于基于图像纹理特征提取的图像检索，其中包括matlab中自带的graycomatrix和graycoprops两个m文件，和四个用于提取图像纹理特征及图像检索的m文件(For image retrieval, including matlab comes graycomatrix, and graycoprops two m files, and four m-files used to extract image texture features and image retrieval based on image texture features extracted)

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)