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GMII-matlab
一个GM(1,1)模型的程序,添加到matlab目录中即可直接调用.附有一个关于灰色模型的简述文档,可对GM(1,1)原理有一个初始的了解.(A GM (1,1) model of the process, added to the matlab directory can be called directly. Accompanied by a brief description of the gray model on the document, can GM (1,1) principle have an initial understanding.)
- 2007-09-23 09:04:52下载
- 积分:1
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3
说明: 经典无网格教程的随书算法的例程,属于第三章例程(Classical meshless algorithm tutorial routines with books, belonging to the third chapter routines)
- 2009-12-12 18:45:59下载
- 积分:1
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RD
说明: 合成孔径雷达的距离多普勒成像算法的源代码,简单易懂,适合新手与初学者。(Distance synthetic aperture radar Doppler imaging algorithm source code, easy to understand for novice and beginners.)
- 2014-10-14 21:11:53下载
- 积分:1
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ifft2
C语言编写的傅立叶正逆变换,经过测试与matlab里面的.m算法结果一致。还有数据测试可用。适用于工程信号处理中。(C language of the Fourier transform, After test and Matlab inside m algorithm results. There are data test available. Suitable for engineering signal processing.)
- 2013-05-09 23:21:23下载
- 积分:1
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dadi2zhijiao (3)
将GPS得到的经纬度,大地坐标,通过高斯投影正算,得到平面直角坐标
文件大小不够,再增加了高斯投影的pdf文档(The longitude, latitude and geodetic coordinates obtained by GPS are corrected by Gauss projection, and the plane rectangular coordinates are obtained.)
- 2019-01-12 11:25:37下载
- 积分:1
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getdatatest1
Setup and run EPANET simulations in Matlab
- 2011-01-21 09:27:22下载
- 积分:1
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mathematical-algorithm-matlab-source
high-end mathematical algorithm matlab source
- 2013-09-20 18:07:14下载
- 积分:1
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VC++.doc
VC++环境下调用MATLAB,其中路径的设置请根据自己电脑中的位置做相应修改(VC++ Environment called MATLAB, which set up the path, please according to their own computers make consequential amendments to the location of)
- 2008-05-07 13:17:18下载
- 积分:1
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AutomaticSpectra
Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
- 2008-05-23 08:31:56下载
- 积分:1
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automatic-Emotion-predictor-sytem
A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into
arousal, expectation, intensity, power and valence level of the observed
subject as there has been virtually no research bearing on this topic.
Preliminary experiments show that it is possible to automatically predict
emotions in terms of these five dimensions (arousal, expectation, intensity,
power and valence) from conversational head gestures. Dimensional
and continuous emotion prediction from spontaneous head gestures has
been integrated in the SEMAINE project [
- 2013-11-26 22:40:05下载
- 积分:1