www_dssz_com_GAOT

realtime edge density estimation - road detection

初始采样点对于IEC检测的影响，不加任何窗函数的情况下(The initial sampling point for the IEC test the impact, without any window function case)

传统的pca人脸识别中的matlab算法，人脸前期处理，希望对大家有用( I was born in Liaoning.Liaoning is a beautiful place.There are many places of interest in Liaoning.I was born on September,26th.I am a girl.I like traveling,reading and English.Speaking English is very important.It s very useful for us.We should do our best to learn English.I like making friends,too.I want to make more and more friends.Let s be friends.When I am free,I usually read books.Much of my life has lived with books.My favorite book is《Harry Potter》.Harry Potter is a brave,clever boy.I like him very much.Books are very interesting.I have great fun in reading books. )

This matlab code for removal of noise from images of rgb and grey type.

分数阶传递函数的类描述，绘制bode图、nyquist图(fractional order system， bode )

说明：  MATLAB图像分割程序介绍，各种分割的源码(MATLAB image segmentation procedure described, a variety of source separated)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

MATHCAD PROCEDURE EXPLAINED FOR CHEMICAL ENGINEERS

program guide for winbond

用MATLAB实现算术编码，并计算其平均码长，熵和编码效率(Achieved using MATLAB arithmetic coding, and calculates the average code length, entropy and coding efficiency)