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Beamformer
OFDM COMMUNINCATION FOR UNDERWATER
- 2011-05-28 19:49:51下载
- 积分:1
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MS_Regress_FEX
这个Matlab程序估计、预测马尔可夫转换回归(Markov Switching Regression),绘制出K线图等回归。(The Matlab program estimates, forecasts Markov transition regression (Markov Switching Regression), drawing out the return of K line maps.)
- 2010-08-23 21:51:07下载
- 积分:1
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Android-BotControl-rev1
Il existe par ailleurs de nombreuses commandes permettant de contrô ler les palettes de couleurs utilisées
pour la représentation graphique, en particulier la commande colormap
- 2015-02-02 23:33:49下载
- 积分:1
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Solvinglinarequationshedirectmethod
说明: 关于解线性方程组的直接法的常见matlab程序。可直接使用
(解线性方程组的直接法)
- 2010-03-17 00:15:18下载
- 积分:1
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nihe_youhua3
matlab 代码,主要用于抛光轨迹的优化,计算个点磨粒的经过次数(matlab code, mainly used for polishing the optimal trajectory, after calculating the number of abrasive points)
- 2013-10-31 19:56:15下载
- 积分:1
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双馈感应风力发电机组传动链系统simulink仿真模型
双馈感应风力发电机组传动链系统simulink仿真模型...................(wind turbine drive chain system simulink model........)
- 2013-12-26 09:38:39下载
- 积分:1
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SMRS_v1.0
稀疏人脸识别,来至论文Robust Face Recognition via Sparse Representation(Robust Face Recognition via Sparse Representation)
- 2021-01-10 15:58:51下载
- 积分:1
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APF
一个基于MATLAB的三电平有源滤波器的仿真(A three level of active filter based on MATLAB simulation
)
- 2015-06-04 10:13:19下载
- 积分:1
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chuli-of-mat
以一个dd.mat文件为例,编写如何在matlab中处理mat文件,得到其中的数据,虽然简单,但是很实用(Dd.mat file a case, write how to deal with mat files in matlab to get the data, although simple, but very practical)
- 2011-04-23 19:48:26下载
- 积分:1
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EM算法(讲解+程序)
说明: EM 算法是Dempster,Laind,Rubin于1977年提出的求参数极大似然估计的一种方法,它可以从非完整数据集中对参数进行 MLE估计,是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据,可以具体来说,我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)
- 2020-07-04 06:00:01下载
- 积分:1