FIR

书中给出了九个典型的自动化设计例子。展示了如何用The MathWorks和其他仿真工具，比如Simulink和Stateflow建模，以此来使自动化控制系统的设计更加便利。(This book includes nine examples that represent typical design tasks of an automotive engineer. It shows how The MathWorks modeling and simulation tools, Simulink® and Stateflow,TM facilitate the design of automotive control systems. Each example explains the principles of the physical situation, and presents the equations that represent the system. The examples show how to proceed from the physical equations to the Simulink block diagram. Once the Simulink model has been completed, we run the simulation, analyze the results, and draw conclusions from the study.)

this is for mini project

声线图，找的，可以看看，比较简单，可以用一下(shengxiantu，is found by me)

intersection the polygons. simulation in matlab and show the result in figur. for more information zemmiti@yahoo.fr

利用Matlab编程计算最短路径及中位点选址(Calculated using Matlab programming shortest path and site location)

The voltage fluctuation and the flicker are taken as an important index to judge the power quality in IEC6100－3－7 of the EMC standard and GB12326－2000.

1.duishuzhengtai：产生对数正态分布 2.gaussian：产生数据量为n的两个相互独立高斯分布y1、y2 3.junyun：自定义 0-1的均匀分布，n代表数据量，一般要大于1024（蒙特卡罗） 4.ruili：瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024 5.kaifeng：产生开丰分布，其中m代表开丰分布的自由度，n表示产生的点数量 6.tfenbu：本函数产生自由度为m，数据量为n的t分布。 7.weibuer：a=1时,是指数分布；a=2时,是瑞利分布(1.duishuzhengtai: generating lognormal 2.gaussian: generating a data quantity n of two mutually independent Gaussian distribution Y1, Y2 3.junyun: custom uniform distribution of 0-1, n represents a data amount, generally large in 1024 (Monte Carlo) 4.ruili: Rayleigh distribution, m is a parameter of the Rayleigh distribution, n representative of the amount of data, n is generally greater than 1024 5.kaifeng: generating open abundance distribution, wherein m represents an open-abundance distribution freedom of degrees of freedom, n is the number of points generated 6.tfenbu: This function generates m, the amount of data for n t distribution. 7.weibuer: a = 1, the exponential distribution a = 2, is a Rayleigh distribution)

自己编写的MATLAB程序，原创，希望有用(I have written MATLAB program, originality, I hope useful)

最小均方误差（MMSE）的算法，包含位置式PID算法、积分分离式PID，是小学期课程设计的题目，仿真效率很高的，用于信号特征提取、信号消噪，大学数值分析算法，处理信号的时频分析，合成孔径雷达（SAR)目标成像仿真。( Minimum mean square error (MMSE) algorithm, It contains positional PID algorithm, integral separate PID, Is the topic of the elementary school stage curriculum design, High simulation efficiency, For feature extraction, signal de-noising, University of numerical analysis algorithms, When processing a signal frequency analysis, Synthetic Aperture Radar (SAR) imaging simulation target.)

simulation of mobile robot