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tls
简单易懂,操作简便,很实用的matlab程序(Easy-to-read, easy to operate, it is useful matlab program)
- 2008-08-20 15:34:49下载
- 积分:1
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current_compensator
current compensator control
- 2013-01-24 08:51:14下载
- 积分:1
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dstatcom
these are some papers on dstatcom
- 2013-08-18 00:40:16下载
- 积分:1
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Adaboost
用于adaboost初学入门,有需要可以看看,比较简单,容易看懂(For the beginner of learning the adaboost)
- 2009-04-17 22:57:23下载
- 积分:1
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chen-system
利用matlab实现了chen氏混沌系统的驱动响应同步控制(Chen' s chaotic system driven response synchronization control using matlab)
- 2013-04-15 17:40:52下载
- 积分:1
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RBFNN
说明: RBF神经网络,用于系统辨识 很好的文件(RBF neural networks for system identification)
- 2010-04-28 22:28:58下载
- 积分:1
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kalman
Matlab implementation for classic kalman filter
predicting linear motion.
- 2013-11-18 01:49:19下载
- 积分:1
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考虑到不平衡电网条件下,传统锁相环的局限性 SOGI
考虑到不平衡电网条件下,传统锁相环的局限性,这里比较了几种基于正负序分离的锁相环着重基于陷波器的提取方式(Taking into account the unbalanced grid conditions, the limitations of the traditional PLL, where positive and negative sequence based on comparison of several separate PLL trap of focusing on ways to extract)
- 2020-10-19 09:07:25下载
- 积分:1
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SiFWHM
实现对探测器FWHM与E拟合函数a/b/c值的求解(Fitting data to get the a,b, and c values in the function of FWHM and E )
- 2012-06-12 18:56:59下载
- 积分:1
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A-Novel-Image-Interpolation-Method
the noise deteriorates the
interpolation performance in digital images, it is effective to
employ denoising prior to the interpolation. In this paper, we
propose a novel interpolation framework in which denoising
and image sharpening methods are embedded. In the
proposed framework, the image is first decomposed using the
bilateral filter into the detail and base layers which represent
the small and large scale features, respectively. The detail
layer is adaptively smoothed to suppress the noise before
interpolation and an edge-preserving interpolation method is
applied to both layers. Finally, the high resolution image is
obtained by combining the base and detail layers.
Experimental results show that the proposed algorithm
outperforms the conventional methods
- 2011-06-09 18:00:48下载
- 积分:1