SPSO

matlab和lingo的使用简介，对初学者很有帮助，希望对大家有用(matlab and lingo of the use of profiles helpful for beginners, we want to be useful)

matlab,davenport风速谱，4阶线性滤波法，绝对可以用！(Matlab, Davenport wind speed spectrum, the 4 order linear filter method, the absolute can be used! Can not use, you cut me!)

这是一个rbf神经网络建模的MATLAB源程序(This is an rbf neural network modeling of the MATLAB source code)

基于DCT的数字水印matlab编程实现源码(DCT-based digital watermarking matlab programming source code)

wavelet小波处理算法及其应用。包含了小波处理的基本应用，图像的去噪等等处理(wavelet implementation)

algoritm kruskala , be useful to equation and operations on connectivity a net

说明：  四旋翼无人机是一种可以被遥控也可以在无人为控制的状态下执行预定任务的飞行器，与传统直升机相比四旋翼飞行器的机械结构简单，且具有高精度，灵活精度以及较低成本的特点，被广泛用于军事侦察，农艺播撒、快递派送、摄影工作等领域。四旋翼飞行器自身具有欠驱动、多变量、非线性等特性，在外界的噪声干扰情况下，增加了四旋翼无人机的不稳定以及控制系统的设计难度。所以对四旋翼飞行器的位姿控制的研究，可以开拓科研人员对控制算法以及滤波算法的认知，具有重要的研究意义。(Four-rotor UAV is a kind of aircraft that can be controlled remotely or perform scheduled tasks without human control. Compared with traditional helicopters, the Four-rotor UAV has simple mechanical structure, high precision, flexible precision and low cost. It is widely used in military reconnaissance, agricultural broadcast, express delivery, photography and other fields. Four-rotor UAV has the characteristics of under-actuation, multi-variable and non-linearity. Under the circumstance of external noise, the instability of Four-rotor UAV and the difficulty of control system design are increased. Therefore, the research on attitude control of Four-rotor aircraft can broaden the knowledge of control algorithm and filtering algorithm for researchers, and has important research significance.)

说明：  该仿真模型是基于matlab的三电平空间矢量整流器，模型由本人自己搭建。运行结果良好。(The simulation model is a three-level space vector rectifier based on matlab.The result is good.)

LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) ( LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) )

说明：  HAM构建文件，基于matlab的comsol程序文件。(HAMConstructionfilesforCOMSOLwithMatLab)