et_04

本文件提供了雷达系统分析与设计一书配套的全部仿真代码，方便读者对于该书籍的进一步学习。(This document provides radar system analysis and design of a book supporting the whole simulation code, the convenience of the reader for further learning of the books.)

HELPS USER TO DETECT FIRE FROM A VIDEO FILE

这是一个MATLAB GUI源代码，实现黑白图像的滤波处理，MATLAB版本为7.6(this is a source code of matlab gui, which manage to filter the gray image.the version of matlab can not be older than v7.6)

Image processing lab

说明：  针对智能微电网优化配置问题，分别对微电网中风机、光伏和储能电池进行容量设计，并采用粒子群算法对系统进行优化配置。(Aiming at the optimization configuration of the smart microgrid, the capacity design of the wind turbine, photovoltaic and energy storage batteries in the microgrid are respectively carried out, and the particle swarm algorithm is used to optimize the configuration of the system.)

说明：  用matlab平稳时间序列的分析，建模以及预测(ARMA模型)(Analysis, modeling and prediction of stationary time series with MATLAB (ARMA model))

说明：  Matlab下用的逐步定线方法解决逢山开路问题。加载后，运行主程序mutiline，结果在mountainoutput中。(This is the program for Matlab to solve the mountain road problem.)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

it is a matrix library. it is needed for fir fier.

data based for face recognition