laplace

可以进行经验模式分解的matlabd源程序(Empirical mode decomposition can be the source matlabd)

关于MIMO-OFDM的matlab和simulink仿真程序或模型有OFDM的simulink仿真模型,有mimo-ofdm的信道估计仿真程序(failed to translate)

backstepping方法设计例子，对于初学者为不错的样例，我本人就是通过这些练习起来的。很有效(The backstepping method design examples for beginners is a good sample, I was up by these exercises. Very effective)

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.)

该程序可用matlab实现三种滤波：切比雪夫1,切比雪夫2和巴特沃斯滤波。可实现信号的滤波预处理。(The program can be used to achieve three filtering matlab: Chebyshev 1, Chebyshev 2 and Butterworth filter. The filter can be realized signal preconditioning.)

光子学报上单目测距的经典方法，很实用，结果十分理想(Optics Monocular distance on the classic method, very practical, very good results)

这是基于matlab的关于Mel频率倒谱系数（MelFrequencyCepstrumCoefficient，MFCC）的代码，对大家理解有一定帮助。(This is based on the matlab Mel Frequency Cepstral Coefficients (MelFrequencyCepstrumCoefficient, MFCC) code for us to understand some help.)

2元BPSK调制加高斯信道硬判决统计误码率(2 yuan plus Gaussian channel BPSK modulation hard decision error rate statistics)

点声源在自由场中的辐射计算，对于声全息的初学者有很大帮助(Radiation point sound source in free field)

本代码设计的切比雪夫1型滤波器，与MATLAB中的切比雪夫滤波器不同的是输出为未归一化的零极点，输入只要是通带频率，通带波动，截止频率，阻带衰减即可，更便于抄做(The code design of Chebyshev Type 1 filter, and MATLAB in the Chebyshev filter output is not different is that the poles and zeros of the normalized input as long as the pass-band frequency, pass-band fluctuations, cutoff frequency, stopband attenuation can be more easily copied to do)