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2Dsource
基2 fft 的c++实现，改自matlab。(fft)
- 2009-03-30 11:24:33下载
- 积分：1
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moxingising
对ising模型的模拟，这是二维的情况，对于学物理的人很重要的。(Ising model for the simulation, which is two-dimensional case, for physics, it is very important.)
- 2013-12-28 17:33:42下载
- 积分：1
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GANNT
matlab绘制甘特图的代码matlab绘制甘特图的代码matlab绘制甘特图的代码(matlab code draw Gantt chart code matlab matlab draw Gantt chart drawing Gantt chart code)
- 2013-01-08 00:55:19下载
- 积分：1
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Visual-CPPand-Matlab
数字图象处理与机器视觉Visual C++与Matlab实现，光盘源代码(Digital image processing and machine vision Visual C++ with Matlab, CD-ROM source code)
- 2013-12-24 12:02:43下载
- 积分：1
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matlab50
一个很实用的MATLAB实例教程，50个例子，欢迎下载，嘿嘿！！！！！！！！(A very practical example of the MATLAB tutorial, example 50 are welcome to download,嘿嘿! ! ! ! ! ! ! !)
- 2009-04-06 12:13:05下载
- 积分：1
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boost
boot pv close loop pi controller
- 2013-10-19 17:50:00下载
- 积分：1
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fengdiangonglv.zip
对风电功率的预测 时间序列预测 卡尔曼滤波预测 (Prediction of wind power time series prediction Kalman filter prediction)
- 2011-12-04 20:20:15下载
- 积分：1
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imgProcess-(2)
实现了图像的一些基本运算，包括高低通滤波(Realize the image of some of the basic operation, including high and low pass filter)
- 2014-10-16 14:27:18下载
- 积分：1
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Meanshif-Detection
说明： ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常
重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰
度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情
况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)
- 2011-04-06 23:14:05下载
- 积分：1
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matlab_MRF
MAF小程序，对初学者有一定帮助。MATLAB编写(MRF MATLAB)
- 2010-11-21 16:29:57下载
- 积分：1
