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Influence_of_interfere_in_SINR
天线接收信号时，突然出现一个干扰信号，并且干扰信号从０°开始，绕９０°，观察ＳＩＮＲ的变化规律(Antenna signal, suddenly appeared a jamming signal, and the interference signal from the 0 ° starting around 90 °, observed variation of SINR)
- 2010-01-13 16:22:45下载
- 积分：1
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getln
读取一些特定的数据中的函数 简单！其他有待开发(Read some of the specific data in a simple function)
- 2011-11-14 22:19:02下载
- 积分：1
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simul_worst_V1
最差性能下的稳健波束算法，包含SMI.LSMI,ROBUST等算法，适合初学者。(Robust beamforming using worst case。)
- 2013-04-16 19:46:38下载
- 积分：1
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grid_3_27_17_21
matlab遍历算法程序，对所有的元素都遍历一篇，已经验证可用(traversal algorithm matlab procedures, all the elements are traversed one has been used to verify)
- 2013-07-17 15:56:17下载
- 积分：1
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BDFMS
无刷双馈电机S函数模型，是状态方程，编写的，可以直接使用的。(The BDFM S-function model, equation of state, written, and can be used directly.)
- 2013-04-12 00:15:05下载
- 积分：1
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cumcm2014problems
大学生数学建模的书籍以及训练习题，和答案，应该对参赛的选手有一定的帮助。(Mathematical modeling of books and training exercises, and answers for participating players should have some help.)
- 2015-04-11 21:15:13下载
- 积分：1
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adaboost
AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。
具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后，
计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法.......
直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。
可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。
AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。
对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目，
过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。
同时可以通过删除离决策边界比较远的样例。
(AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative.
Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after
Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way .......
0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value).
As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing.
AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method.
For )
- 2014-07-09 19:24:29下载
- 积分：1
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ric-clutter
this codel model rician clutter
- 2016-12-29 14:40:49下载
- 积分：1
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PCA
anomaly_detection
dataset-dimensionality-reduction-python-master
- 2020-06-25 19:20:01下载
- 积分：1
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ST-DPTC 690v
从网上发现的资源能量回馈变频器直接功率转矩控制的仿真(Energy resource feedback from the Internet to simulate the direct power torque control of the inverter)
- 2018-06-22 14:52:34下载
- 积分：1
