MATLAB6.x-for-process-signal

[IOVS]2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl的实现matlab代码，医学图像增强([IOVS] 2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl realization of matlab code medical image enhancement)

matlab程序运行时导入数据文件作为输入参数，gFzHFju参数是一种双隐层反向传播神经网络，应用小区域方差对比，程序简单，包含收发两个客户端的链路级通信程序,EPuUHVR条件有详细的注释，matlab开发工具箱中的支持向量机。( Import data files as input parameters matlab program is running, gFzHFju parameter Is a two hidden layer back propagation neural network, Application of small area variance comparison, simple procedures, Contains two clients receive link-level communications program, EPuUHVR condition There are detailed notes, matlab development toolbox support vector machine.)

遗传算法优化BPmatlab代码（标注清晰），保证新手看了原理之后能看懂(Genetic algorithm optimizes the BPmatlab code (clearly marked) to ensure that the novice can understand the principle after reading it.)

detect the object and make a retangle (detect the object and make a Greimas)

用泰勒级数展开的形式表示高动态的载波相位参数, 给出了对高动态载体和各阶频率参数 估计的四阶加权扩展卡尔漫滤波器(EKF) , 以及实现高动态跟踪滤波器必须的状态转移矩阵和动 态噪声协方差矩阵. 计算机模拟实验分析了对载波相位和各阶频率的跟踪结果.(Taylor series expansion with the form that the carrier phase high-dynamic parameters, given the high-order dynamic frequency carrier and the fourth-order parameter estimation Carl diffuse filter weighted extended (EKF), and to achieve the necessary high dynamic tracking filter state transition matrix and dynamic noise covariance matrix. The computer simulation analysis of carrier phase and frequency tracking results of each order.)

探讨不同类型加窗后对LFM信号匹配滤波后峰值旁瓣比和隔离度的影响(Window of different types of LFM signal after matched filtering the peak sidelobe ratio and the impact of isolation)

说明：  本程序使用matlab对ami码进行编程，希望大家通过它能对编码有所了解(the procedures for the use of Matlab programming code ami, we hope it right through coding understand)

Beam on the elastic foundation Matlab code

回归分析的matlab实现(Regression analysis matlab realize)

闻亭公司培训DM642的内部资料一共有五天，里面包含讲解的ppt,文档，开发工具，课堂源码例子等。这是第三天内容.(Wintech DM642 training information, total of five parts, which contains explanations ppt, documentation, development tools, source code examples of class and so on.This is the 3rd part. )