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于 2014-06-04 发布文件大小:17KB

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有源电力滤波器可以使用的模型，电流控制使用重复控制算法(active power filter using repetitive control)

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APF.mdl,161027,2013-04-14

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floyd1
说明： matlab中最短路问题的算法，就是求从网格的起点到终点的长度（总权）最小的通路。附注释(the shortest path problem in matlab algorithms, is seeking a starting point from the grid to the end of the length of (total) of the smallest channels. Annotated)

2008-09-19 22:03:24下载

积分：1
wwavelet
说明：一个小波消噪的matlab例子，里面有源程序希望可以帮到大家(a denoise example of wavelet,)

2010-03-29 22:34:55下载

积分：1
sliding_quarter_car
在Matlab simulink环境下编写的在滑模控制模型的四分之一车模型。经仿真效果很好(In Matlab simulink environment written in the quarter-car model sliding mode control model. The simulation works well)

2014-12-14 12:18:21下载

积分：1
memristor_emulator
忆阻器《忆阻器非线性漂移》翻译及其忆阻器宏模型建立及其电路仿真。(memristor emulator )

2013-11-12 18:09:26下载

积分：1
Matlab-parallel-and-distributed
有关matlab并行以及分布式运算的书籍，适合初学者使用。(About matlab parallel and distributed computing books for beginners to use.)

2013-12-28 17:37:56下载

积分：1
gaot
传统遗传算法、改进遗传算法、在神经网络建模中应用(Traditional genetic algorithm, improved genetic algorithms, neural network modeling applications)

2014-02-19 15:19:08下载

积分：1
StepclassV2
逐步判别分析的主函数用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

2020-09-18 12:27:56下载

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matlab_downsample
code based on downsampling

2009-10-04 02:24:15下载

积分：1
otdr_practicum
optical loss measurements

2012-04-26 08:42:26下载

积分：1
2324
基于盲信号抽取的雷达信号分选技术研究，基于盲信号抽取的雷达信号分选技术研究(Blind signal extraction based on radar signals sorting technology research, based on blind signal extraction technology of radar signal sorting)

2011-11-21 22:41:33下载

积分：1

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