Gauss

说明：  齿轮故障诊断源代码，特别是针对点蚀故障，主要利用小波削噪功能检测微弱故障信号(Gear fault diagnosis source code, especially for pitting failure, the main use of wavelet noise reduction function weak fault signal)

labview fft labview8.20 用于音频变换.但8.20 不好下载(fft labview8.20 for PC Audio transform. But not download 8.20)

matlab的串口函数使用，利用串口读数并操作(matlab serial port function, use, and operation of the use of serial reading)

说明：  随机森林的一个入门级历程，此例程可以带有稀缺数据集，让你使用训练集和测试集感受到随机森林的强大之处。随机森林的分类与回归，非常之强。秒杀神经网络，是一个人见人爱的算法。(Random forest is an entry-level process, this routine can have scarce data set, let you use training set and test set to feel the power of random forest. The classification and regression of random forest is very strong. Seckill neural network is a love algorithm.)

MATLAB code for signal filtering with fixed point coefficients

改进型的蚁群算法，能够快速求解多目标规划。(Improved ant colony algorithm to quickly solve multi-objective planning.)

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 )

该资料是一个matlab仿真程序。实现对噪声中正弦信号相位的估计。利用matlab仿真得到的PDF估计 对不同的信噪比（SNR）情况进行Monte Carlo仿真(This information is a matlab simulation program. Realize sine signal phase noise estimation. Obtained by simulation using matlab PDF estimates different signal to noise ratio (SNR) conducted Monte Carlo simulation.)

自适应时延估计算法仿真，其中包括ETDE和改进后的ETDGE算法(Adaptive delay estimation algorithm simulation, including ETDGE and improved algorithms ETDE)

用Lattice Boltzmann方法求解不可压缩流动的圆柱绕流问题。(By Lattice Boltzmann method for solving incompressible flow around a cylinder flows.)