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BoostPWM
说明: 这是一个BOOST-PWM电路的仿真,主要用于PFC校正。(This is a PWM circuit simulation hee-, mainly used for PFC correction.)
- 2010-04-27 20:30:29下载
- 积分:1
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MatlabEdit-listbo
Matlab中Edit listbox实现中文、矩阵交叉显示,实现动态显示(Matlab Edit listbox in the realization of the Chinese, cross-matrix display, dynamic display)
- 2011-05-04 15:48:05下载
- 积分:1
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Simulation-principles
通信系统仿真原理与无线应用 中文书籍+matlab源码 无线通信matlab仿真珍贵教材与源码(Simulation principles of communication systems and wireless applications)
- 2012-03-29 22:52:27下载
- 积分:1
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UltraEasyFBMC
FBMC code for wireless communications
- 2014-08-28 18:33:52下载
- 积分:1
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ostofengefa
高效的ostu分割法,效果很好,请大家放心使用(Ostu efficient segmentation method, the effect is very good, please be assured use)
- 2010-11-26 10:49:40下载
- 积分:1
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number_of_kernel
用语计算volterra的kernel核(Calculating the kernel of Volterra)
- 2018-04-02 17:34:34下载
- 积分:1
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vfv1.01
LIC toolbox for matlab 2D data
- 2010-07-20 05:56:54下载
- 积分:1
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selection-sort
Program to implement selection sort
- 2014-09-20 12:30:04下载
- 积分:1
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bilinear
In this paper, we introduce a new machine-learning-based data classification algorithm that is applied
to network intrusion detection. The basic task is to classify network activities (in the network log
as connection records) as normal or abnormal while minimizing misclassification. Although different
classification models have been developed for network intrusion detection, each of them has its strengths
and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the
Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM
method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is
implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC
(Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both
classification rate and run-time efficiency.
- 2013-12-21 13:40:52下载
- 积分:1
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pca
用MATLAB实现了基于pca的特征提取方法,有效地完成了识别,是识别的经典例子(Pca-based implementation using MATLAB feature extraction methods, efficient completion of the identification is to identify the classic example of)
- 2009-11-25 20:04:34下载
- 积分:1