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MyGui.m
This GUI will show normal,Rayleigh and rice distribution with the law of large number.
It has an easy to understand interface and few parameters.
- 2009-11-25 16:17:15下载
- 积分:1
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CoSaMP
关于 CoSaMP 算法介绍 压缩传感压缩感知理论应用的算法(CoSaMP algorithm introduced)
- 2011-04-20 23:20:13下载
- 积分:1
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timeseriesas
本程序采用MATLAB编写,内容关系数字图形分析与处理,内有例子说明使用(This program written by MATLAB, the contents of relations figures graphical analysis and processing, there are examples of the use)
- 2010-06-04 15:01:14下载
- 积分:1
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Matlab_100_Examples_Source_Code
含有 matlab 实例编程一百个源程序,放在当前目录下就可工作(Matlab programming examples contain source code 100, under the current directory can be placed on the work of)
- 2008-07-15 09:07:52下载
- 积分:1
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matlab-interface-CTP
matlab调用CTP接口的例子,实用性强(the matlab call CTP interfaces examples of practical)
- 2013-04-09 23:14:08下载
- 积分:1
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fenzhisuanfa
这是中国数学建模中编程交流上分治算法内容,里面提供了很多分治算法的例子(This is the exchange of mathematical modeling in the programming content on the divide and conquer algorithm, which provides many examples of divide and conquer algorithm)
- 2010-11-20 19:39:55下载
- 积分:1
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ganshe
说明: 光谱干涉条纹生成程序,有单色光和复色光的。(Spectral interference fringes generated program, a monochromatic light and polychromatic light of.)
- 2010-04-21 09:34:31下载
- 积分:1
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UART_GUI
RS232通訊用GUI,可偵測PC上的所有Port供使用者選擇,並提供9600、115200兩個baud rate供使用者選擇(如需其他baud rate可自行於code內添加),提供RX、TX接收傳送功能,下方接收欄可接收第一個0x0A指令之前所有資料,右方接收欄則接收剩餘所有資料。(RS232 communication with the GUI, can be detected on all Port PC for users to choose and provide 9600,115200 two user selectable baud rate (for other baud rate can add their own in the code), to provide RX, TX reception transmission function, the receiver can receive all the information bar below before the first 0x0A command bar on the right to receive all the information you receive surplus.)
- 2014-12-22 17:51:39下载
- 积分:1
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huigui
灰测预测,预测一组波动性不是很大的程序,否则检结果不是很精确(Ash test predictions about the volatility is not a great program, or review the results is not very accurate)
- 2011-11-25 12:13:40下载
- 积分:1
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gm11
function exp85
clear all
p=[0:0.1:1.1]
t=[22.4570 26.6012 12.6416 5.9367 6.9265 28.2432 31.5068 37.0166 7.8947 1.0398 12.7095]
net=newff([0 1],[5 1],{ tansig purelin }, traingdx , learngdm )
net.trainParam.epochs=2500
net.trainParam.goal=0.001
net.trainParam.show=50
net=train(net,p,t)
r=sim(net,p)
plot(p,t,p,r, * )
y=sim(net,[1.2])
- 2012-04-26 12:14:11下载
- 积分:1