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gradiente
Calculate a gradient by using a mask (sqrt(R² + I² ).(Calculate a gradient by using a mask (sqrt(R² + I² ).)
- 2009-09-08 01:59:28下载
- 积分：1
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MATLAB.DYNPROG
动态规划逆序算法的MATLAB程序上传资料(The dynamic programming algorithm of MATLAB program was)
- 2010-09-04 16:45:02下载
- 积分：1
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extrema
part 1 about vcsel simulation of a paper IEEE
- 2012-04-24 14:36:37下载
- 积分：1
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MSX60-module
太阳能电池板VI曲线建模 用matlab的simulink工具 可视曲线(Simulink tool solar panels VI curve modeling using matlab visual curve)
- 2014-12-04 18:44:01下载
- 积分：1
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NOMA-CR-SWIPT
完成NOMA仿真分析，通过仿真确定自己的优化变量，进行性能分析(Completion of NOMA simulation analysis)
- 2018-05-06 11:27:45下载
- 积分：1
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Opt
最优化计算分析方面的程序入门资料小，适合初学者(Optimization calculation program started small data analysis, suitable for beginners)
- 2013-12-07 12:39:12下载
- 积分：1
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snkae-model
基于matlabGUI 的图形化界面，展示了snake能量边缘算法检测，并通过调节参数查看算法效果(MatlabGUI-based graphical interface that shows the snake energy edge detection algorithm, and the algorithm by adjusting the parameters to see the effect of)
- 2013-12-09 14:26:55下载
- 积分：1
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fourthinterface-multiSVM
audio classification using SVM for 5 classes
- 2014-02-15 16:39:30下载
- 积分：1
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fish
人工鱼群算法是李晓磊等人于2002年在动物群体智能行为研究的基础上提出的一种新型方盛优化算法，该算法根据水域中鱼生存数目最多的地方就是本水域中富含营养物质最多的地方这一特点来模拟鱼群的觅食行为而实现寻优。算法主要利用鱼的三大基本行为：觅食、聚群和追尾行为，采用自上而下的寻优模式从构造个体的底层行为开始，通过鱼群中各个体的局部寻优，达到全局最优值在群体中凸显出来的目的。
这是一个鱼群算法的案例，希望大家可以有所收获(Artificial fish swarm algorithm is a new fangsheng optimization algorithm proposed by li xiaolei et al. on the basis of the research on intelligent behavior of animals in 2002. This algorithm simulates the foraging behavior of fish swarm according to the characteristics that the place with the largest number of fish survival is the place with the largest number of nutrients in the water area.)
- 2021-03-23 09:59:15下载
- 积分：1
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Huffman-code
Huffman code的matlab程序，用一幅图像作为training image得到像素的Huffman编码，然后编码另外一幅图像，求得average code length。(Huffman code of matlab program, with an image as a training image pixel Huffman coding, then coded another image obtained average code length.)
- 2012-10-01 23:11:08下载
- 积分：1
