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statcom
用matlab中的simulink搭建statcom模块，已经通过测试(use matlab to build the statcom model)
- 2020-12-16 19:19:12下载
- 积分：1
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study1
在matlab环境下实现语音信号的预处理，包括分帧，加窗，滤波，并进行端点检测，绘图。(Voice signal preprocessing in the Matlab environment, including the frame, windowing, filtering, and endpoint detection, drawing.)
- 2013-04-18 20:21:24下载
- 积分：1
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yantu
本程序可绘制无码间串扰的眼图，可设置显示不同的升余弦滚降系数以及眼图个数！希望对大家有用！(This program can be drawn Uncensored crosstalk eye-diagram, you can set different raised cosine roll-off factor and the number of eye diagram! I hope useful for all of us!)
- 2013-05-15 18:40:30下载
- 积分：1
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SOGI-feedbackloop
二阶广义积分器加上反馈的模型，单一的二阶广义积分器会让信号一直放大，加上反馈可以让信号稳定( U4E8C u9636 u5E7F u4E49 u79EF u7EF u5206 u5206 u5668 u52A0 u4E0A u53CD u9988 u7684 u6A21 u578B uFF0C u5355 u4E00 U4F1A u8BA9 u4FE1 u53F7 u53F7 u4E00 u76F4 u653E u5927 uFF0C u52A0 u4E0A u53CD u9988 u53EF u4EE5 u8BA9 u4FE1 u53F7 u7A33 u5B9A)
- 2017-05-30 19:40:56下载
- 积分：1
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Desktop
16 QAM digital communication system
- 2010-11-22 02:32:14下载
- 积分：1
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AR
说明： 时间序列分析中的AR模型的matlab简单实现,一个小例子，适合刚入门者使用。。(Simple implementation of the AR model in time series analysis, a small example, suitable for just beginners)
- 2012-03-22 16:37:00下载
- 积分：1
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esprit
ESPRIT算法的经典功率谱估计程序，已运算过，下载即可使用(ESPRIT algorithm is the classic power spectrum estimation procedures have been operational before, you can use to download)
- 2011-05-11 16:51:17下载
- 积分：1
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Electronically-Scanned-Arrays
Electronically Scanned Arrays MATLAB Modeling and Simulation 全书PDF与书中的程序(Electronically Scanned Arrays MATLAB Modeling and Simulation PDF book and the book program)
- 2021-01-11 15:38:49下载
- 积分：1
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kalman
kalman滤波matlab程序，利用双点差分外推法取初值，并多次求平均值(kalman filter matlab procedures, the use of two-point difference extrapolation to take initial and repeated averaging)
- 2014-05-10 10:33:07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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