huiseGM

Digital television system

说明：  Suboptimum receiver noise and interference estimation for AWGN channel

NEWTON RAPSHON METHOD FOR LOAD FLOW

逆变器用svpwm空间矢量脉宽调制程序详解，matlab仿真使用。(Inverters svpwm space vector pulse width modulation Detailed procedures, matlab simulation use.)

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.)

说明：  多通道同步挤压算法，MSST，提高时频图的频率精度(Multi-channel synchronous extrusion algorithm, MSST, improves the frequency accuracy of time-frequency graph)

此程序主要使用matlab模拟了垂直激光器谐振腔的核心部件DBR的工作过程，得到其阈值振荡曲线(This program is mainly use matlab to simulate the working process of the core components of the vertical laser cavity DBR, its threshold oscillation curve)

信号处理，仿真模拟简单的信号传输，是一个简单的实例(It consists of a core program, which provides basic functions for mathematical computation and graphics, and various specific toolboxes providing specialised functions for various fields of engineering such as control systems and signal processing. We use Matlab for computer added learning for this project.)

mokhlesam va kheyli chakeram mehdipoor hastam

采用小波对信号分解和去噪。分解层数和使用的小波可以自己定义然后阈值去噪(Wavelet is used to decompose and denoise signals. The decomposition level and the use of wavelet can be defined by itself and then threshold denoising)