FFT

实现了对文档的数据读入，实现了文档的数据读入(The realization of the document data read into, The realization of the document data read into, )

说明：  微分进化算法中的其中两个子程序，还有未上传(Differential evolution algorithm)

采用M语言仿真stribeck的三轴伺服系统，可以在低速情况下观察较强的摩擦现象(With M-language simulation stribeck three-axis servo systems, in the case of low friction phenomena observed strong)

用以计算nscat地球物理模型函数的程序！(This is a program for calculating the nscat geophysical model.)

一个用于学习GA的简单程序，自己编写的SGA，不是使用的工具箱函数(A simple GA for the learning process, I have written SGA, instead of using the toolbox function)

求边界层方程的相似解法，使用四阶四级经典龙格库塔方法推进，适用于平板边界层，绕楔形体边界层流动等(Seeking boundary layer equations similar solution, using fourth-order Runge-Kutta method to promote four classic for boundary layer around the wedge boundary layer flow, etc.)

给定样本点，采用高斯核密度估计，求出概率密度分布函数。(It is good to use this method to evaluate pdf)

三维FDTD近远场变换程序,为时域近远场变换(three dimension FDTD near to far program)

基于声纳信息的粒子滤波算法,可以利用声纳信息和不完全环境信息通过该算法完成机器人的自定位过程,本例是在原有基础上的改进,(Particle filter algorithm based on sonar information can use sonar information and incomplete environment information to complete the self-localization process of robot. This example is an improvement on the original basis.)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)