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ILC_iterativelearningcontrol
迭代学习控制:闭环以及开环控制器间切换,具有PI,D型等多型控制器,具有初态学习模块。(Iterative learning control: Closed-loop and open-loop controller to switch between, with PI, D-type and other type of controller with initial state learning modules.)
- 2013-07-15 16:24:18下载
- 积分:1
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heatmaptext
Heat maps with numeric values overlayed
- 2007-08-14 11:03:22下载
- 积分:1
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CFDerb
采用复倒谱域滤波的方法实现语音混响的去除。(Dereverberation by CEP method )
- 2010-11-01 16:28:04下载
- 积分:1
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Gilbert-Strang5
gilbert strang Computational Science and Engineering
- 2013-11-10 20:15:20下载
- 积分:1
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Flexible-AC-Transmission-System-Controllers-An-Ev
can use reference for FACTS APPLICATION
- 2015-01-03 14:28:33下载
- 积分:1
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kmeans_fast_Color
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
- 2015-01-12 22:33:06下载
- 积分:1
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zhihuan2
有源电力滤波器建模,能很好的滤除谐波,输出正弦电压(Active Power Filter modeling can be a good harmonic filter, the output sinusoidal voltage)
- 2021-04-25 01:58:47下载
- 积分:1
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ConstrainedOptimization
Constrained optimization has been explained with matlab 2007a. This has been explained with various benchmark functions. The main program can be directly applied to knapsack problem and portfolio optimization problem directly.
These programs have been written in a menu driven manner.
- 2010-06-30 16:59:57下载
- 积分:1
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DBT
说明: 雷达信号处理的多波束形成算法toolbox(DBT, A Matlab Toolbox for Radar Signal Processing)
- 2011-02-19 02:44:33下载
- 积分:1
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shuxuejianmo_8
说明: (拟合)
用给定的多项式,y=x3-6x2+5x-3,产生一组数据(xi,yi,i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数),然后用xi和添加了随机干扰的yi作的3次多项式拟合,与原系数比较。
如果作2或4次多项式拟合,结果如何?
((Fitting) with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add a random disturbance yi ( can be generated rand (0,1) uniformly distributed random number, or rands generated N (0,1) distribution of random numbers), and then added with xi and yi for random interference of the 3 times polynomial fitting, and the original coefficient. If 2 or 4 times for polynomial fitting, the result?)
- 2009-07-24 23:02:50下载
- 积分:1