matlab-sources

说明：  C高级编程，是提高的好书，希望大家认真阅读，我还会陆续发资料(C high-level programming)

说明：  通过图像匹配实现自由立体显示视差图的校正(Achieve freedom through matching calibration stereoscopic disparity map)

说明：  为大型相控阵天线真面进行调整优化，是阵面方向图达到要求(For large phased array antenna to adjust and optimize the real face is the front up to the required patterns 搜索)

芬兰作者提出的FastICA算法，用以解决盲源分离问题，我编写了一个主程序，调用其已经编写好的功能函数，可以查看仿真结果。(Finland FastICA algorithm proposed by the authors to solve the blind source separation problem, I wrote a main program, calling its already written performance function, you can view the simulation results.)

因为傅立叶变换对应的是无限信号,信号经过分帧后变成有限信号,分帧的信号再进行傅立叶变换后,高频部分将有 泄露 ,所以要加窗. 窗函数的拼谱都是在某高频部分截止,所以每帧信号加窗后的傅立叶变化,频谱基本 泄露 (Because Fourier transform corresponding is infinite signals, signals after framing become limited, framing signal again after Fourier transform, the high frequency part will have leaked , so to add window. Window function spell spectrum are in a high frequency part of the globe, so each frame and window after Fourier transform, signal spectrum basic leak )

说明：  基于matlab的AM F-msk MDPSK QPSK的仿真。(Based on matlab' s AM F-msk MDPSK QPSK simulation.)

基于泰勒技术展开的自适应滤波函数的图像处理，可实现去噪，超分辨率，去除马赛克等(Taylor expansion based on adaptive filtering techniques of image processing functions can be realized denoising, super resolution, remove mosaic)

Solving IVP ODEs using Symbolic MATH "dsolve", Laplace Transforms and MuPAD for analytic solutions and ODE45, ODE113 and Simulink for numeric solutions of the given 2nd order ODE is shown in this script.

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.)

当圆柱型阵列的来波方向为0.5137（对应的pi 坐标）时阵列波束形成方向图(When a cylindrical array for DOA 0.5137 (corresponding to the coordinates of pi) when the array beamforming pattern)