wen_quadrotor

Hybrid Particle Swarm Optimation Algorithm. This file is helpful someone who want to optimatize data.

fcm algorithm using pso

模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。(Fuzzy C means clustering (FCM), known as fuzzy ISODATA, is used to determine membership of each data point belongs to a cluster of a clustering algorithm level.)

此文件包含着EEMD的能量特征分量的计算程序和EEMD之后进行各个IMF的KL散度指的计算程序。(This file contains the energy characteristic component EEMD computational procedures and after each EEMD KL divergence refers to the IMF s calculation program.)

1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　e(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)

说明：  使用EKF算法处理PIX飞控的IMU数据(analysis the pix's log with ekf algorithm)

FAce recognitionn using PCA method

说明：  GCC时延估计，二次互相关进行估计时延，精确定位(GCC delay estimation, the second cross-correlation to estimate the delay, precise positioning)

％DEFINEV Scaling vector and derivative ％ ％ [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the ％ bounds corresponding to the sign of the gradient g, where ％ l is the vector of lower bounds, u is the vector of upper ％ bounds. Vector dv is 0-1 sign vector (See ?? for more detail.) ％ ％ Copyright (c) 1990-98 by The MathWorks, Inc. ％ $Revision: 1.2 $ $Date: 1998/03/21 16:29:10 $( DEFINEV Scaling vector and derivative [v, dv] = DEFINEV (g, x, l, u) returns v, distances to the bounds corresponding to the sign of the gradient g, where l is the vector of lower bounds , u is the vector of upper bounds. Vector dv is 0-1 sign vector (See?? for more detail.) Copyright (c) 1990-98 by The MathWorks, Inc. $ Revision: 1.2 $ $ Date : 1998/03/21 16:29:10 $)

现代信号处理中RLS算法的程序，非常实用，可清晰的看出该算法与其他算法的差异.(Modern Signal Processing RLS algorithm procedures, very practical, you can clearly see the difference between this algorithm and other algorithms.)