Fractional-Splines-and-Wavelets

With this source you can use your Hantek oscilloscope with matlab.

calssification algorithmqq

说明：  在MATLAB环境下读取TXT文件的程序集合(In the MATLAB environment to read TXT files collection)

VBLAST的MATLAB仿真，可以形成有噪声干扰和无噪声干扰的VBLAST对比图(The VBLAST of MATLAB simulation, noise and no noise of VBLAST comparison chart)

Survey about robot soccer strategies

对信号进行预白化处理，使信号的后处理更加容易，故障更加清晰(Pre-whitening the signal so that the signal processing easier, more clear fault)

matlab中画地震图件的子程序源代码，对物探人员很有用。(Matlab in picture seismic datum of source code, useful for geophysical prospecting personnel.)

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 )

在LS信道上用Matlab模拟MIMO-OFDM的发送接收(Matlab simulation of the LS channel MIMO-OFDM with transmit and receive)

this code useful for padding zeros in ofdm.it is the function used in ofdm_ber file.