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meanshift
采用meanshift算法，对小目标进行跟踪，并在多种背景条件下对算法进行验证(Meanshift algorithm used for small target tracking, and in a variety of background conditions to verify the algorithm)
- 2013-11-20 08:34:14下载
- 积分：1
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CEGraph
matlab与vc6.0实现混合编程的源代码，可以实现C++调用matlab数学方法，而无需安装matlab，可以实现快速数学算法实现，效率比较高！欢迎大家下载学习！(matlab and vc6.0 achieve mixed programming source code, you can call C++ implementation matlab math methods, and do not need to install matlab, mathematical algorithms can achieve rapid implementation, more efficient! Welcome everyone to download study!)
- 2009-02-24 20:37:34下载
- 积分：1
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knn
在网站上下的一个MATLABknn分类程序(dfjaklsdjflkasd
buhui)
- 2010-05-10 09:28:18下载
- 积分：1
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dataset
目标抓取,可以更换视频背景,当然目标抓得不是很精确.有待提高.(Object extraction, background change. The extraction is kind of rough at the moment.)
- 2012-03-30 14:48:12下载
- 积分：1
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GA(matlab)
遗传算法(GA)训练BP网络权值、阈值的matlab源码[matlab](genetic algorithm (GA) BP training network value, the threshold value of the Matlab source [Matlab])
- 2007-01-18 15:47:37下载
- 积分：1
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FitzHughNagumo
Unscented Kalman Filter (UKF) exemplified on FitzHugh-Nagumo neuron dynamics.
Voltage observed, currents and inputs estimated.
FitzHughNagumo.m is the main program which calls the other programs.
If you use these programs for your publications etc., please refer to
H.U. Voss, J. Timmer & J. Kurths, Nonlinear dynamical system identification from uncertain and indirect measurements, Int. J. Bifurcation and Chaos 14, 1905-1933 (2004).
I will be happy to email this paper, which contains a tutorial about
estimation of hidden states and unscented Kalman filtering.
For commercial use and questions, please contact me.
- 2012-07-06 18:17:50下载
- 积分：1
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mpc
Model Predictive Control Toolbox
- 2013-07-21 13:19:44下载
- 积分：1
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yasuoganzhi-Channel-Estimation
非平稳的大规模多输入多输出的最小二乘信道估计(Non-stationary channel fast fading radio channel least squares estimation)
- 2014-12-09 11:33:05下载
- 积分：1
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Wind_Model
很好的风速模型，对风力发电的出力进行研究有很大帮助。(Good wind model, the output of wind power research helps a lot.)
- 2014-02-22 10:53:20下载
- 积分：1
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ria_organic_matter_fluorecence
The combination of EEM fluorescence and parallel factor analysis has proved to be a promising tool for studying DOM. These relatively inexpensive fluorescence measurements can be used in combination with other measurements to rapidly quantify and characterize DOM across a range of environments. This approach also has great potential in a wide range of other applications such as drinking water monitoring, waste water treatment control and the evaluation of ballast water exchange in ships. However, as with many new techniques, it is not as straightforward as could be desired and there are a range of potential pitfalls. For the approach to persist and become a trustworthy method, a basis for a standardized approach was required.
- 2010-06-11 11:09:18下载
- 积分：1
