AC_BUCK_BOOST

黄金分割法617 数学常用 函数逼近 建模运用 (Golden Section 617, the use of mathematical modeling commonly used approximation)

DDE服务器编写例程，实用DDEML类库实现，简单易用。(DDE server to prepare routines, practical implementation DDEML class, easy to use.)

基于ＮＳＧＡ方法的多目标遗传算法程序,本程序为通用包,可自行修改.(NSGA method based on multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)

《MATLAB神经网络30个案例分析》中的第16个例子，案例16 单层竞争神经网络的数据分类—患者癌症发病预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 16 cases (16 patients with single competitive neural network data classification- cancer prediction. Hope to have certain help to everybody! )

响应面的2阶多项式估计，使用最小二乘法，算法精度高，data数据随便换其他的三维数据(2-order polynomial response surface is estimated using the least squares method, the algorithm accuracy, data data was replaced with other three-dimensional data)

该程序是基于时间延迟求和的波束成形算法的实现，根据是结果来看有很好的效果(The program is based on the sum of the time delay beamforming algorithm, based on results, there is a good effect)

说明：  包含雷达信号处理的基本流程与操作规范的matlab代码示例，内容选摘如下： 一、脉冲压缩 窄带（或某些中等带宽）的匹配滤波： 相关处理，用FFT数字化执行，即快速卷积处理，可以在基带实现（脉冲压缩） 快速卷积，频域的匹配滤波 脉宽越小，带宽越宽，距离分辨率越高； 脉宽越大，带宽越窄，雷达能量越小，探测距离越近；(Matlab code examples including the basic flow and operation specifications of radar signal processing are as follows:)

GPIF的详细介绍啊，里面有一些使用的例子。很不错的文档资料(A detailed description of GPIF ah, there are some use examples. Very good documentation)

马克斯普朗克提供的机器学习程序包，主要是matlab代码，另外也调用了大量的weka代码和libsvm代码(Provided by the Max Planck Institute for machine learning package, mainly matlab code, also called a large number of weka code and code libsvm)

图像增强处理的方法有很多，本程序采用反锐化掩膜法增强图像，并与直方图均衡法增强图像的效果进行对比。(There are alot of methods of Image enhancement processing.this program is based on the Anti sharpen mask method.Then contrast the result with Histogram equalization method. )