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eemd
验模态分解(Empirical Mode Decomposition,简称EMD)是一种自适应信号分解方法,主要应用于非线性非平稳的信号。整体平均经验模态分解(Ensemble Empirical Mode Decomposition,简称EEMD)解决了EMD中出现的模态混合问题。(Ensemble Empirical Mode Decomposition)
- 2013-08-04 11:43:04下载
- 积分:1
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matlab99999999
各种matlab代码,实现各种功能,供查阅者参考,熟悉matlab软件的使用(x=linspace(0,1,21)
y=linspace(0,1,21)
[X,Y]=meshgrid(x,y)
z=(X.*Y)./(X+Y)
meshc(X,Y,z)
)
- 2011-07-11 15:54:13下载
- 积分:1
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LUMATLAB
本程序为直接LU分解法及其MATLAB程序,用于求解高斯方程组(This procedure for direct LU decomposition method and the MATLAB program for solving equations Gauss)
- 2009-10-04 13:40:57下载
- 积分:1
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estimate_hurst_exponent
matlab程序,用于求时间序列的hurst指数,判断数据的长程关联性。
(the matlab procee for calculating the Hurst Exponent for a time series data--Hurst Exponent)
- 2011-07-12 14:39:34下载
- 积分:1
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cal_kr_dfe
基于standford大学cioffi教授的经典算法,计算有线信道的最佳判决反馈滤波器系数。(Calculate the optimal DFE coeffients based on the algorithm propoased by prof. Cioffi)
- 2014-09-19 17:59:48下载
- 积分:1
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LS-DYNA
LS-DYNA动力学分析,主要适用于显式动力学分析,本程序主要是K文件,希望能给大家了解一点如何修改K文件。(LS-DYNA dynamics analysis, mainly applied in the explicit dynamics analysis, this procedure is mainly K file, I hope everyone can understand a little how to modify the K file.)
- 2015-01-22 11:41:03下载
- 积分:1
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2
说明: 因子分析的matlab源程序代码,可以对多远数据进行约简。(Factor analysis matlab source code, how far can the data reduction.)
- 2014-02-23 13:33:02下载
- 积分:1
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HMODELING_BANo
如何在Simulink中搭建Sigma Delta ADC的的非理想模型MODELING BAND,已通过测试。
(In Simulink to build a Sigma Delta ADC' s non-ideal model MODELING BAND, has been tested.)
- 2012-07-20 19:20:47下载
- 积分:1
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twoWARLMSandNLMS
LMS算法程序 代码等等 变步长LMS算法程序 代码等等 变步长(lms suanfa bianbuchang)
- 2014-01-12 18:11:40下载
- 积分:1
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System-Identification-of-an-ARARX-model-master
使用MATLAB对MIMO系统进行辨识,其中有各种算法仿真算例,N4SID,针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)
- 2021-02-09 22:29:53下载
- 积分:1