matlab-2010b-VS2008-Hunhebiancheng

重采样MATLAB程序2例参考程序。用于对信号进行不同采样频谱的采样(resampling)

说明：  编辑程序的模板，很多人编辑程序都十分的不规范，因此这个matlab模板希望能给一些人一个规范，一个编辑程序的规范。(Editor template, many people editing programs are really not standard, so this will give some people hope matlab template for a standard editing procedure.)

对运动声目标进行航迹跟踪，并通过粒子滤波去除航迹估计值的噪声成份。(Sports sound track to track targets and, through the particle filter to remove the estimated value of track noise component.)

自动增益控制 AGC 的MATLAB 程序 (auotomation gain control matlab programmme)

matlab实现的hillbert和fft滤波器。适合初学数字信号处理的人学习。(Matlab and achieve hillbert fft filter. Suitable for beginner digital signal processing to emulate.)

介绍了关于memory的相关函数，对于大多数程序员有很大帮助，希望大家多多使用(the information about memory)

使用MATLAB编程 配电网前推回代法潮流计算 采用的是标准的IEEE33节点(Power flow calculation of the standard IEEE33 node)

说明：  Fruit Fly Optimization

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)

CFAR即恒虚警检测，是雷达信号处理领域的经典处理算法，其核心是在保证虚警概率一定的条件下，尽可能提高检测概率(CFAR that is constant false alarm detection, radar signal processing field of the classic algorithm, its core is to ensure that the false alarm probability of certain conditions, as far as possible to improve the detection probability)