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GM(1_1)
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)
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USB-CAN
MAPLAB文件,帮助你更好学习PIC!(MAPLAB files,help you study PIC more quikly!)
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RGLS
RGLS算法 系统辨识 实验的源程序代码 用于气动伺服实验(RGLS algorithm systems identification of the source code for the pneumatic servo test)
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IEEE33
说明: IEEE33节点标准配电网数据,可以转换成所需要的格式,比如可以利用PSAT进行转换分析。(IEEE33 node standard distribution network data can be converted into the required format, such as PSAT for conversion analysis.)
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aw
说明: 简正波程序,可以学习,简正波程序,可以学习(Normal mode program)
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00737
无源定位各种体制与方法的总结和概述,并做了详细的对比,最后给出源代码及结论(Analyses of the geolocation accuracy that can be obtained
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exam26
此函数中主要给出了如何实现MRI体数据的可视化,详细的给出了如何实现的步骤;(This function is mainly given how MRI volume data visualization, gives a detailed steps on how to achieve )
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20105271274922703503
利用matlab编写的桁架结构模态振型计算,运行之后出现各阶振型动画。 (Prepared using matlab truss calculation of vibration mode, run the first vibration mode appears after the animation.)
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differential-Detection-for-diversity
差分空时传输分集的两篇重要文档仿真:
1. V. Tarkh and H. Jafarkhani, “A differential Detection scheme for transmit diversity,”;2. S. M. Alamouti, “A simple transmitter diversity scheme for wireless communications,” 。
关键词:差分;空时;协同;分集;MATLAB仿真(Differential space-time transmit diversity simulation two important documents: 1. V. Tarkh and H. Jafarkhani, " A differential Detection scheme for transmit diversity," 2. SM Alamouti, " A simple transmitter diversity scheme for wireless communications," . Keywords: Differential space-time Cooperative diversity MATLAB simulation)
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