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ExpertPIDController
专家控制学习的基础，一个简洁易懂的PID专家控制(Exper PID Controller)
- 2009-12-04 12:16:48下载
- 积分：1
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lecture_examples
examples contain source codes about PID control
- 2011-02-01 21:34:30下载
- 积分：1
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PVRMSYUEXCEL
通过excel将输入读入matlab中，计算文件第四列元素的最大值，最小值和均方根值，对应z波面拟合中的PV RMS的计算。上传文件中包括excel文件(Input read by excel in matlab to calculate the column IV of document elements of the maximum, minimum and RMS values, corresponding to zernike Wavefront fitting of PV RMS calculation)
- 2009-12-02 14:32:45下载
- 积分：1
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123
说明： 利用matlab对啁啾取样光栅的光谱的透射谱进行模拟(Chirped sampled grating using matlab on the spectrum of the simulated transmission spectra)
- 2011-03-22 16:35:58下载
- 积分：1
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111
MODEL OF Brussless DC Moter
- 2014-12-09 23:41:41下载
- 积分：1
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Simple-Calculator
Simple Calculator in GUI matlab
- 2011-11-23 17:12:20下载
- 积分：1
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IRLS
迭代重加权最小二乘算法，程序可以直接运行，并且给出了实例(Iterative reweighted least squares algorithm, the program can be run directly, and gives examples)
- 2016-10-16 09:31:10下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
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％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分：1
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eof
eof分解 想要的拿走吧 自己随便写的 有问题的话可以email我(eof decomposition want take it easily write their own needs to take the trip)
- 2013-09-25 22:54:43下载
- 积分：1
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pca
可用于高光谱图像处理的自己编的PCA函数,Matlab版的.主要作用是降维.(the pca function is used to hyperspectral image processing.)
- 2013-08-21 20:01:27下载
- 积分：1
