seismic-exploration

这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用(This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian process for selecting the sample, Gaussian- Markov process and so on .. have to run the procedure separately . everyone would like to be useful)

说明：  蒙特卡洛入门教程，感兴趣的朋友可以下啊。(Monte Carlo Tutorial)

matlab 数学应用，讲解如何用matlab求数学极限，倒数，积分，微分等数学运算(Matlab mathematical application)

功率谱估计 music算法matlab实现(music algorithm of power spectral estimation and its realization)

实现数据的简单DS融合，里面包含已有的五种数据的，利用贝叶斯、随机森林、k近邻分类器分类，最后融合(Simple DS fusion of data, which contains five kinds of data, uses Bayesian, random forest, k-nearest classifier to classify, and finally fuses.)

In this model, PI and Fuzzy PI controllers employed to control the speed of the DC motor. Comparison between the performance of the two controllers represented.

compressive sensing theory

基于灰色理论的负荷预测的程序，可用于MATLAB神经网络预测，通过负荷自身的变化来预测未来的负荷值(The load forecasting procedure based on grey theory can be used in MATLAB neural network prediction, and the future load value can be predicted by the change of load itself.)

说明：  对数值进行分析，AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的"examplars"即聚类中心点是数据集合中实际存在的点，作为每类的代表(For numerical analysis, AP clustering algorithm is based on the "information transfer" between data points. Unlike k-means algorithm or k-center algorithm, AP algorithm does not need to determine the number of clusters before running the algorithm. The "examples" searched by AP algorithm is the actual points in the data set as the representative of each class)

多项式求值的四种算法的运行时间复杂度的比较。将四个算法在一个程序中实现，并在一个运行结果图中比较显示。(Value of the four algorithms polynomial time complexity of running the comparison. Four algorithms will be implemented in a program and run the results in a comparison chart display.)