APF

雷达信号的基本模型，高斯分布，几何分布，求信号的概率分布，概率密度函数，功率谱函数，自相关函数等等(The basic model of the radar signal, Gaussian distribution, geometric distribution, the probability distribution for the signal, probability density function, power spectrum, the autocorrelation function, and so)

这是一本书的一个章节的源代码关于图像优化的我觉得真的挺好的(This is a chapter of a book about image optimization of the source code, I think it is quite good)

matlab实现图像缩放，可实现灰度图或彩色图，带demo(matlab image scaling, grayscale or color chart, with demo)

说明：  求反求参数（无约束非线性优化方法）的matlab实现 无约束非线性优化算法-Powell法优化子程序 matlab广义最小二乘算法程序(Reverse order parameter (unconstrained nonlinear optimization method) to achieve the matlab unconstrained nonlinear optimization algorithm-Powell method to optimize the generalized least-squares algorithm matlab subroutine procedure)

蚁群算法应该到货物搬送问题中，同时也可应用于电力系统调度优化中(Ant colony algorithm to the cargo bay should be problems, can also be applied in power system scheduling optimization)

基于matlab编写的蜗杆齿面仿真源代码，希望对大家有用(Matlab prepared based on the worm tooth surface simulation source code, everyone would like to be useful)

PearsonICA程序，一种ICA分离算法(PearsonICA procedures, an ICA separation algorithm)

This is a matlab program that computer the gradient image using 1st derivative of Gaussian

电子通信系统的建模与仿真 第7章 通信系统差错控制仿真 7.1 缩短卷积码 7.2 有缩短卷积码加交织的差错控制系统研究 7.3 自适应均衡系统（LMS算法） 7.4 迭代译码的级联卷积码 (Electronic communications system modeling and simulation of Chapter 7 error control communication systems simulation 7.1 shortened 7.2 convolutional code convolutional code increases have shortened intertwined system of error control 7.3 adaptive equalization system (LMS algorithm) Iterative Decoding of level 7.4 convolutional codes in conjunction)

曲线拟合法：本方法分别利用一元线性函数、对数函数、指数函数和抛物线函数对数据拟合，取拟合优度判定系数最大者作为预测模型，得出预测值及预测区间（置信度为0.95）(Curve fitting: This method is the use of a linear function, respectively, logarithmic, exponential and parabolic functions for data fitting, goodness of fit to take the maximum coefficient of determination, as predicted by the model, predicted values ??and prediction intervals obtained (confidence 0.95))