matlabdeguibiyesheji

butterworth滤波器，可实现高通低通滤波(butterworth filter, low pass filter high-pass)

音频信号的小波分解与重构实例，在MATLAB里调用sym1小波函数进行三层分解。(audio signal decomposition and reconstruction by means of wavelet )

ansys matlab 联合优化，进行 传递txt，进行告知优化应力结果，以便传递数据(Joint optimization, transfer txt, inform optimization stress results, so as to transfer data)

This is a good implementation of brain cancer on matlab

K近邻 KNN分类器，读取水质处理数据，并分好类，一共四类(K neighbor KNN classifier, read the water quality data processing, and a good class, a total of four class)

this code is for dpl network .this code runs for realtime ................................

简单的二维图像相关程序！Brown 大学一个实验室的开放程序.(Simple 2D Ditigal Image Correlation.)

利用随机几何方法和对基站协作场景下能量效率和协作基站数目的关系进行仿真(The stochastic geometry method is used to simulate the relationship between the energy efficiency and the number of cooperative base stations in the base station collaboration scenario)

digital modulation - QPSK

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)