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PMSM_test_0414useful
说明: PMSM起动仿真模型,双闭环控制,仅供参考。能够无位置传感器起动(PMSM Start Simulation Model)
- 2019-06-02 22:22:02下载
- 积分:1
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samira
some usefull matlab code to practice matlab
- 2011-06-13 15:57:48下载
- 积分:1
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code
OFDM添加高斯白噪声 通过交织和解交织 对其进行编解码的程序(By adding Gaussian white noise OFDM intertwined intertwined reconciliation procedures for its codec)
- 2010-11-19 16:01:42下载
- 积分:1
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atividade1
Crossover fron generic algorithm, matlab
- 2013-07-30 23:41:03下载
- 积分:1
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matlab_fft
matlab实现fft,以及ifft算法,包含蝶型运算等文件(Matlab achieve fft and ifft algorithm, includes a butterfly computation, and other documents)
- 2006-12-26 17:18:21下载
- 积分:1
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matlab-and-the-model-of-math
其中包括matlab的基础学习,和有关数学建模的模型分析。主要适合初学建模但不懂编程的学者学习,也适合实习matlab的人开展模型分析训练。(Including Matlab basis of learning, and mathematical modeling, model analysis. Mainly suitable for beginners modeling, but scholars do not understand programming learning, but also for the internship Matlab to carry out model analysis training.)
- 2012-05-24 15:58:52下载
- 积分:1
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NNX142
MATLAB环境下的BP网络的实现,源程序,对于在matlab下做神经网络仿真的各位有帮助。(MATLAB environment BP network realized, source files, For Matlab neural network simulation do you have any help.)
- 2007-05-30 08:40:22下载
- 积分:1
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pca
Function to perform Principle Component Analysis over a set of training
vectors passed as a concatenated matrix.
Usage:- [V,D,M] = pca(X,n)
[V,D] = pca(X,aM,n)
where:-
<input>
X = concatenated set of column vectors
aM = assume that the mean is aM
n = number of principal components to extract (optional)
<output>
V = ensemble of column eigen-vectors
D = vector of eigen-values
M = mean of X (optional)
- 2013-07-09 15:06:40下载
- 积分:1
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wwdce
this source code is wwdc in matlab
- 2013-08-04 18:04:04下载
- 积分:1
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dramcode
DRAM算法,是一种改进型的蒙特卡罗马尔科夫链(MCMC)采样方法,该算法基于经典的MCMC算法,在此基础上增加了改进策略,是算法能够更快速稳定的收敛。(DRAM algorithm is an improved Mirkov chain (MCMC) sampling method, the algorithm is based on the classic MCMC algorithm, based on the increase in the improvement of this strategy is the algorithm to more rapid and stable convergence.)
- 2021-04-29 14:58:43下载
- 积分:1