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ripplecurrentreductionofafuelcell
ripple current reduction for the active filter design in matlab
- 2014-09-02 00:09:47下载
- 积分：1
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imnoise2
imnoise2函数产生一个大小为m*n的噪声数组R 产生噪声模式本身
(Imnoise2 function generates a size for m* n noise array R)
- 2010-12-01 18:47:45下载
- 积分：1
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ciccomp
计算CIC补偿滤波器系数
Matlab源代码(method of calculate CIC compensation coefficients
Matlab source code)
- 2011-01-03 14:01:18下载
- 积分：1
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Factor-Analysis-Method-MATLAB
因子分析法matlab源代码，能将为数众多的原始指标变量经过分析综合为少数几个公共因子变量,从而大大减少计算的复杂度。(Factor analysis matlab source code, can go through a large number of original indicator variables comprehensive analysis to a few common factor variables, thus greatly reducing the computational complexity.)
- 2013-07-22 12:37:14下载
- 积分：1
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PV_matlab_central
it shows the operating principle of solar module .. first of all when insolation fall on pv module .. it generate current . and thus power is generated
- 2015-01-19 14:14:22下载
- 积分：1
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T4R4_conv_BPSK_vblast
是一个四发四收的球型译码程序，编码是卷积码，调制方式是BPSK，用Vblast来实现解码。(Is a collection of four four-ball type decoding procedures, coding is a convolutional code, modulation is BPSK, used to achieve the decoding Vblast.)
- 2009-05-08 22:02:46下载
- 积分：1
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HUYGENS_FRESNEL
惠更斯-菲涅尔衍射计算，非常不错，简单易行。(Huygens- Fresnel diffraction calculations, very good, easy.)
- 2020-09-14 10:57:57下载
- 积分：1
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fangfaBJMNMLfa
火工品元件可靠性的 系统评估方法计算机模拟(failed to translate)
- 2013-05-02 10:09:51下载
- 积分：1
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Contourplot
标准阵列的波束方向图的幅度等高线图：N=M=10，均匀加权。(Contour plot of uniformly weighted rectangular array)
- 2011-12-21 16:12:56下载
- 积分：1
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gongetidufadshuzhixingzhi
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分：1
