A计权滤波器, Sound-A--filter

一个中科院博士生的关于粒子滤波的博士论文，对相关人员有重大参考价值(A Chinese Academy of Sciences doctoral dissertation on the particle filter, the relevant personnel have significant reference value)

潮流样本。能运用于电力系统潮流计算，MATLAB编写(Tide samples. Can be applied to power system load flow calculation, MATLAB prepared)

用于灰色关联系数和灰色关联度的计算，其中进行了初值化和归一化处理。(Correlation coefficient for the gray and gray correlation calculation, which carried out the initial value of and normalized.)

光伏MPPT最大功率跟踪仿真模型，很有参考价值的算法(Photovoltaic maximum power tracking of MPPT simulation model, the algorithm of great reference value)

这是一个基于matlab的变声实验，将一段声音改变频率并输出(Cracking test )

张量的模式展开是一个基本的技术，已有各种代码展开结果不尽相同，本代码是根据张量研究领域权威文献“Tensor Deco们positions and Applications”中的公式编写，并经过多次实例验证，与理论描述相符。文件包括两个m文件，一个是按模n展开，而另一个是逆变换，即按模n叠合。(unfolding of the tensor mode is a basic technology, there are a variety of code to make different result. However this code is written by referring to the authority of the tensor field of research literature Tensor Deco their positions and Applications and after several instances verification, is consistent with the theoretical description. The documents include two m-files, one is unfold.m, and the other is the inverse transformation, that is refold.m.)

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 )

求两个信号的时延估计，通过时延估计对声源实现定位(Ask the two signal delay estimation, time delay estimation of sound source by positioning to achieve)

说明：  两个adaboost算法，代码很短，都有中文注释，第二个代码是第一个的改进。(Two algorithms about adaboost ,the code is very brief,including the Chinese comments. The second one improver better than the first one.)

说明：  数字信号处理的一些MATLAB源程序，均已经通过编译、仿真，请放心下载使用。(digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.)