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extractForeground
Fast video loading code do background subtraction subtracting all frames from first frame
and show the result video so fast
- 2013-10-30 13:37:26下载
- 积分：1
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modoptimization
MOdulation optimization for green communications
- 2015-01-13 16:38:07下载
- 积分：1
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rgbquadtree
图像置乱加密。
主要思想：从两幅图像中选取信息，然后置乱成一幅图像。(Image scrambling encryption.
The main idea: to select information from two images, and then scrambling into an image.)
- 2011-12-14 00:02:00下载
- 积分：1
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parks_McAlgo
parks maclean algorithm for low pass filtering
- 2009-11-10 04:15:07下载
- 积分：1
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MATLAB
本书适合不同阶段的MATLAB学习者，包括矩阵的计算，图形的绘制和建模，对广大CAGD爱好者很有帮助(Book is suitable for learners at different stages of MATLAB, including matrix calculations, graphics rendering and modeling, useful for the majority of fans CAGD)
- 2011-10-25 16:53:53下载
- 积分：1
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Applied-Digital-Signal-Processing---D
Digital signal processing
- 2013-11-09 22:04:54下载
- 积分：1
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maxcost
“基于Floyd最短路算法的Ford和Fulkerson迭加算法”的最小费用最大流算法，其基本思路为：把各条弧上单位流量的费用看成某种长度，用Floyd求最短路的方法确定一条自V1至Vn的最短路；再将这条最短路作为可扩充路，用求解最大流问题的方法将其上的流量增至最大可能值；而这条最短路上的流量增加后，其上各条弧的单位流量的费用要重新确定，如此多次迭代，最终得到最小费用最大流。
(" Floyd shortest path algorithm based on the Ford and Fulkerson algorithm superposition" of the minimum cost maximum flow algorithm, the basic idea is: the flow of each arc on the unit cost as a length, with Floyd for the most short-circuit method to determine a from V1 to Vn of the most short-circuit then this can be expanded as the shortest way, by solving the maximum flow of traffic on the way to its maximum possible value and this increased the flow of the shortest path, on which the arcs of the unit to re-determine the cost of traffic, so several iterations, finally get the minimum cost maximum flow.)
- 2010-12-22 17:27:32下载
- 积分：1
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speckle
使用matlab模拟生成散斑图，是光学散斑研究的重要图。(Speckle pattern generated using matlab simulation is an important figure of the optical speckle study.)
- 2014-10-09 20:17:46下载
- 积分：1
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PSOt
粒子群算法，可以计算多种复杂函数的优化问题(PSO algorithm can calculate a variety of complex function optimization problems)
- 2014-11-01 20:09:33下载
- 积分：1
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AP
说明： 对数值进行分析，AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的"examplars"即聚类中心点是数据集合中实际存在的点，作为每类的代表(For numerical analysis, AP clustering algorithm is based on the "information transfer" between data points. Unlike k-means algorithm or k-center algorithm, AP algorithm does not need to determine the number of clusters before running the algorithm. The "examples" searched by AP algorithm is the actual points in the data set as the representative of each class)
- 2021-01-07 11:03:26下载
- 积分：1
