sichashu

cyclic codes using matlab

通过对各种窗函数的matlab仿真，比较各种窗函数的频谱特性，并且将不同的窗函数加权到脉压信号上，观察特性的优劣(Based on all kinds of window function of matlab simulation, compare all kinds of window function, the characteristic of the frequency spectrum of and different window function weighting to the pulse pressure signal, the merits of the observed features)

对低频段的带通信号进行高精度的时延估计，有详细说明。(Of low-frequency band signal for high-precision time-delay estimation, has a detailed description.)

用matlab 生成随机数 内含详细代码 已经经过调试(Generating random Numbers with detailed code)

焊接点热源温度场模拟，对于焊接温度场模拟很有用处(Weld heat source temperature field simulation)

中继节点辅助的D2D通信传输模式切换 .pdf(RN assisted D2D communication transmission mode switching .pdf)

GA Continuse where the values of the variables are continuous and you want to know them ... This continuous GA also has the advantage of requiring less storage than.

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 )

电力系统仿真，简洁，高效，有三机九节点、14节点、风机、光伏等模型(Power system simulation, simple and efficient)

这是抛物线用matlab实现的源代码，功能完善，简单易懂(This is the realization of a parabola with the matlab source code, function perfect, easy-to-read)