robotsim

自动提取目标图像轮廓边缘，同时分辨其颜色。(Automatic edge contour extraction target image, at the same time to tell its color.)

说明：  功率谱 welch 方法 there is a simple demo for non parameteric spectral estimation methods(Welch method of power spectrum there is a simple demo for non parameteric spectral estimation methods)

新Chen时滞混沌系统的仿真，初学者可以参考(New Chen delay chaos system simulation, beginners can reference )

DividePlane：用割平面法求解整数规划 (DividePlane: by cutting plane method for solving integer programming)

这是一个关于matlab里主要函数和主要命令的文档，里面介绍的比较详尽～希望对大家有用(It is a major function in matlab and major command document, which described in detail to all of us ~ I hope useful)

利用matlab进行信号处理的几个例子，简洁明了，十分实用(examples about signal processing using matlab)

该程序可以实现对于信号的时域参数提取以及信号的包络分析(The program can realize time domain parameter extraction of signals and envelope analysis of signals)

一段可以借鉴的增强图像效果的matlab代码，能达到很好的效果，可以参考。(Some can learn from the matlab code, can achieve good results, you can reference.)

说明：  clc; clear all; close all; [filename, pathname, filterindex] = uigetfile({'*.jpg;*.tif;*.png;*.gif','All Image Files';... '*.*','All Files' }, '选择待处理图像', ... 'images\01.jpg'); file = fullfile(pathname, filename);%文件路径和文件名创建合成完整文件名 id = Get_Id(file);%得到file中的所有对象 Img = imread(file);%根据路径和文件名读取图片到Img [Plate, bw, Loc] = Pre_Process(Img); % 车牌区域预处理 result = Plate_Process(Plate, id); % 车牌区域二值化处理 % 寻找连续有文字的块，若长度大于某阈值，则认为该块有两个字符组成，需要分割 bw = Segmation(result); words = Main_Process(bw); % 主流程处理 Write_Mask(words, id); % 写出到模板库 str = Pattern_Recognition(words); % 识别(Mike is a student. He is my good friend. He is busy at the weekend. He is going to read a magazine this Saturday morning. He is going to go to the zoo this Saturday afternoon. He is going to buy a book this Sunday morning. He is going to learn Kungfu this Sunday afternoon. He is going to watch TV this Sunday evening.)

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)