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eje1
game in fpga example, also is a fpga
- 2014-02-03 12:01:33下载
- 积分：1
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laser-propagation
对激光通过大气传输的主要非线性过程进行数值模拟, 列出大气的流体动力学方程组和与
大气相互作用的波方程，推导出受激热瑞利散射引起的小扰动不稳定性的波与大气的耦合方程, 还对湍流作了处理。(Of laser transmission through the atmosphere, the main non-linear process to simulate the fluid dynamics are listed in the atmosphere and atmospheric interaction equations and the wave equation is derived by stimulated thermal Rayleigh scattering instability caused by the wave perturbation coupled equations with the atmosphere, but also made a deal with turbulence.)
- 2011-05-22 18:44:07下载
- 积分：1
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MinimumCostFlow
最小费用最大流算法通用Matlab函数，最短路算法的Ford和Fulkerson法迭加算(Common minimum cost maximum flow algorithm Matlab function, the shortest path algorithm of Ford and Fulkerson method of superposition operator)
- 2014-02-09 14:51:55下载
- 积分：1
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OFDM_64QAM_R14
LTE advance qam matlab simulink
- 2015-07-26 08:05:47下载
- 积分：1
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果蝇优化算法
根据果蝇优化算法得到极速学习机隐层神经元的数目依据得到的隐层神经元数目和极限学习机的方法对训练样本和测试样本进行训练学习。(According to the fruit flies optimization algorithm to get extreme learning machine based on the number of hidden layer neurons of hidden layer neurons number and extreme learning machine method of training samples and testing samples to carry on the training study.)
- 2016-11-02 15:01:12下载
- 积分：1
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ts_analyd
De Smedt et al 2005, Analytical Solution for transient storage modeling
- 2009-06-03 00:04:39下载
- 积分：1
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saliency
一篇经典论文的代码，“Saliency,Scale,image description”，用于寻找视觉显著性的区域，matlab代码(A classic papers of the code, " Saliency, Scale, image description" , for the visual search of the area significantly, matlab code)
- 2009-06-17 23:39:12下载
- 积分：1
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Modulation
amplitude and fm modulation good for you
- 2013-10-20 20:10:25下载
- 积分：1
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MPC程序
MPC在Matlab上的使用，包括有约束和无约束(The useage of MPC on Matlab,and it includes constraints and no constraints)
- 2021-03-21 14:49:17下载
- 积分：1
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KNN
K最邻近密度估计技术是一种分类方法，不是聚类方法。
不是最优方法，实践中比较流行。
通俗但不一定易懂的规则是：
1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。
2.选出最小的前K数据个距离，这里用到选择排序法。
3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2020-10-23 14:37:22下载
- 积分：1
