An-optimal-training-signal

学习多孔介质的好算法。可以放心参考运用,可以运行的(Porous media is a good learning algorithms. You can rest assured reference use, you can run)

基于神经网络的分类，实验数据与结果均在文件夹里，简单的例子将会初学者学习怎么样通过神经网络进行分类与模式识别，很实用的入门程序。(Classification based on the experimental data and the results of neural networks are in the folder, a simple example would be for beginners to learn how to classify and pattern recognition, it is useful entry procedures by neural networks.)

使用高阶累积量对MPSK信号进行调制识别，可实现对二维数据的聚类，迭代自组织数据分析。( Using high-order cumulants of MPSK signal modulation recognition, Can realize the two-dimensional data clustering, Iterative self-organizing data analysis.)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

A medical procedure-based patient grouping method for an emergency department

通信里的2ASK信号的产生及分析，很不错，经典实用(Communication in the 2ASK signal generation and analysis, very good, classic and practical)

用矩阵工作室进行图像处理时能够用到的自带库函数大全，很方便的实现图像处理功能。(For image processing using matlab to use the native library function Guinness, very convenient to realize image processing functions.)

采用db3小波对信号进行六层分解，可以用作容错故障检测的源程序，我做的小论文就用的这个程序，没有错误(Using six db3 wavelet decomposition of the signal can be used as fault tolerance fault detection of the source, I made a small paper on the use of this program, no errors)

说明：  通过k-means聚类算法对图像的颜色进行聚类。(The color of the image is clustered by k-means clustering algorithm.)

生成AR(p)过程模拟的参数。满足过程的弱稳定。模拟多条样本路径，利用AIC/BIC/IC进行定阶。比较三种标准的准确性。(Generate an AR (p) process simulation parameters. Meet process weakly stable. Simulation sample path, AIC/BIC/IC order determination. Three standard accuracy.)