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psowithdate
说明: %--- 名称:带交叉因子的改进PSO算法
%------功能:求解多维无约束优化问题
%------特点:收敛性强,还可以加入变异算子
(--- Name: with cross-factor function to improve the PSO algorithm------: Solving multi-dimensional unconstrained optimization problems------ characteristics: strong convergence, but also joined the mutation operator can)
- 2008-11-13 21:14:51下载
- 积分:1
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CompAidBook
it is an ebook for learning pid controller design with matlab functions
- 2013-01-03 01:39:47下载
- 积分:1
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2bus_system
1 swing bus、1 PQ bus、2 transfermor 以matlab劃出結構圖後計算各線路的電流電壓(1 swing bus, 1 PQ bus, 2 transfermor matlab draw diagram after calculation of current and voltage of each line)
- 2014-01-10 23:51:02下载
- 积分:1
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Seg Source Code
Segmentation algorithm
- 2017-08-23 18:44:10下载
- 积分:1
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InterpolationandFitting
插值与拟合的matlab文件,插值与拟合在matlab中有很广的应用(Interpolation and fitting matlab files, interpolation and fitting in at matlab has a very wide application)
- 2009-03-19 10:47:46下载
- 积分:1
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Microwave-circuit-design
说明: 本文档包含了射频微波电路的一些设计技巧和注意事项。(This document contains a number of RF and microwave circuit design techniques and considerations.)
- 2011-03-30 21:39:06下载
- 积分:1
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emg_para
生物肌电信号的频域参数:平均功率频率和中值频率(Biological EMG signals frequency-domain parameters: mean power frequency and median frequency)
- 2013-01-04 12:49:06下载
- 积分:1
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ComputationalStatisticsMatlab
Matlab的书籍的统计方法计算,这本书包含源代码(Matlab books, on the calculation of statistics, the book contains the source code)
- 2010-05-13 12:08:07下载
- 积分:1
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Polar_HW(1)
极化码在BEC和BSC信道下的SC译码算法(SC decoding algorithm for polarization codes in BEC and BSC channels)
- 2021-03-16 15:19:21下载
- 积分:1
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kqdafuxg
包括主成分分析、因子分析、贝叶斯分析,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,是机器学习的例程,基于chebyshev的水声信号分析,在MATLAB中求图像纹理特征,阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料,使用混沌与分形分析的例程。( Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Machine learning routines, Based chebyshev underwater acoustic signal analysis, In the MATLAB image texture feature, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction, Use Chaos and fractal analysis routines.)
- 2016-04-04 19:26:27下载
- 积分:1