LE.matlab

一种基于广义Hough变换的破碎图形的识别方法(Generalized Hough transform based on the recognition of broken graphics)

利用matlab里面的吹风机数据，用前300个数据进行辨识。分别采用最小二乘辨识和相关性系数法辨识。并画出图形。通过对比最小二乘法和相关函数两种方法得出来的辨识图形。可知相关函数辨识的准确度更高。(Use a hair dryer inside matlab data before using 300 data identification. Were used to identify the least squares identification and correlation coefficient method. And draw graphics. By comparing the least squares method and related functions have two ways out of the identification graphics. Shows a higher correlation function identification accuracy.)

说明：  matlab写的运动检测 自动实现 十分有用的代码 值得学习！(Motion detection matlab automatically write the code should be very useful to learn!)

说明：  线性预测是语音信号分析中用得比较多的一种方法#&’()算法在线性预测中占有重要地位#格型滤波 器在语音信号分析中起了重要作用$本文采用&’()算法的逆运算对语音信号进行合成#得到了较好的合成效果$ (Linear prediction analysis of speech signal is used more than one way#&amp ' () linear prediction algorithm plays an important role in cell-type filter# signal analysis in speech played an important role in this paper, $ &amp ' () Algorithm of inverse operation of the synthesized speech signal synthesis# get a better result $)

这是SA改进的模拟退火算法，并用matlab编码实现(This is the improved simulated annealing algorithm SA, and coded using matlab)

说明：  建立并绘制任意信号的模糊函数。已在巴克码，线性调频，脉冲信号中测试过。(This program estimates and plots the ambiguity function for any signals. I have tested it for the Barker code, chirp signal, pulse signal. for good results the length of the input vector (Ut)should be more than 7. Example- a rectangular pulse should be described as[1 1 1 1 1 1 1]. Please, give your suggestions. it is made with the help of "xcorr" function (Author: R. Losada) in MATLAB and Ilia Iliev from TU-Sofia )

SCM中大尺度损耗下对不同地区路径损耗的计算(matlab for pathloss)

MATLAB与vb等语言的综合编程应用以及利用matlab来编写exe的具体方法(Comprehensive application programming languages ​ ​ such as MATLAB and vb and matlab to write exe)

用Excel Link实现Excel与Matlab混合编程，自相关与互相关(Excel and Matlab Excel Link and self-and cross correlation)

原胞自动机模拟程序 可以应用于单车道或者多车道 单车道主要 包括信号灯 跟随 多车道可以包含变道 (program for overtaking using CA model)