Newton-Raphson_power_flow

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：  dll for personal medical uses

对于初学者具有参考意义，是一种双隐层反向传播神经网络，最小均方误差（MMSE）的算法，通过虚拟阵元进行DOA估计，迭代自组织数据分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。( For beginners with a reference value, Is a two hidden layer back propagation neural network, Minimum mean square error (MMSE) algorithm, Conducted through virtual array DOA estimation, Iterative self-organizing data analysis, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.)

一份用matlab7.0编写的mc算例，希望有大的帮助(Prepared using a matlab7.0 example mc, I hope there is a big help)

LPCC语音信号特征提取程序，参考《Matlab扩展编程》(The LPCC speech signal feature extraction procedures, refer to the " Matlab extension programming" )

the code of texture compare and match, used for image and video retrival

说明：  李雅普诺夫指数的计算,适用所有混沌系统 (Lyapunov index calculation, suitable for every system )

空间后方交会程序，已知地面点坐标及对应像点求相机位置和姿态。( Space resection procedure, known ground point coordinates and the corresponding image point for camera position and posture.)

一种可运行的最优路径蚁群算法,可以用于机器人路径寻优等方向(An optimal path running ant colony algorithm, robot path can be used to find the direction of Excellence)

wavelet domain denoising-code小波图像去噪源代码，可以使用，能够运行出结果。(wavelet domain denoising)