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kfcm
说明： 基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化(Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize)
- 2010-05-05 08:36:35下载
- 积分：1
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GPS-and-INS-navigation
GPS和INS联合导航matlab程序，在紧密组合的基础上进行了算法变成，经验证，仿真有效。(GPS and INS navigation matlab program)
- 2012-05-23 16:27:12下载
- 积分：1
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The-steepest-descent-method-matlab
程序是通过最速下降法寻找三阶二维的目标函数的局布极值点。(Program is through the steepest descent method to find the objective function of the third-order two-dimensional local extremum point.)
- 2014-12-10 22:36:53下载
- 积分：1
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关于DOA估计理论中线性预测类算法的MATLAB实现 FBLP ULA
这个程序是关于DOA估计理论中线性预测类算法的MATLAB实现的，具体是基于均匀线阵的双向线性预测算法仿真(This program is MATLAB on DOA Estimation Theory class linear prediction algorithms to achieve, in particular based on bi-linear prediction algorithm simulation of ULA)
- 2015-11-02 11:02:01下载
- 积分：1
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FracLab-Mat
说明： FracLab的一些源代码，FracLab是用于分形分析的toolbox(some of the source code in FracLab, FracLab is toolbox for fractal analysis)
- 2010-04-12 19:19:44下载
- 积分：1
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LMSand-RLS
这是通信中常用到的数字滤波器算法的matlab的例子，下载的话，自己要修改。(This is commonly used in communications to the digital filter algorithm matlab example, download the case, they have to change.)
- 2011-05-06 14:38:50下载
- 积分：1
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upqcs
A Novel Concept of Simultaneous Voltage
Sag/Swell and Load Reactive Power Compensations
Utilizing Series Inverter of UPQC
- 2015-05-07 12:52:18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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DFIG
这是一个用S函数写成的在altha/beta坐标系下的双馈风力发电机模型。(This is a function written by S in altha/beta coordinate system under the doubly-fed wind turbine model.)
- 2009-04-15 21:29:00下载
- 积分：1
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BER-BPSK
BER for BPSK modulation
- 2011-10-07 00:43:20下载
- 积分：1
