为了更好地监视生产过程 ,要求短的采样时间间隔 ,因此序列相关性是实际过程数据普遍具有的特点,探讨适合于序列相关数据的动态主元方法（DPCA）方法是非常必要的。-In order to better monitor the production process, requiring a short sampling interval, the serial correlation is the actual process data generally has the characteristi

改进monte carlo localization定位算法，通过添加一个聚类算法使其能够监控定位的进程，通过参数设置能调节定位成功率-Monte carlo localization localization algorithm improved by adding a clustering algorithm to enable it to monitor the orientation process, through parameter setting can adjust the su

血压监测程序，用于监测血压的MATLAB程序，里面含有去白噪声程序和不去白噪声程序-Blood pressure monitoring program, the MATLAB program used to monitor blood pressure, which contain to the white noise process and not white noise process

首先对一段正常工况下的历史数据进行离散小波分解,对不同尺度下的小波系数建立相应的NPE模型.经过多层小波分解,建立相应的统计量对过程进行监控-First discrete wavelet decomposition of some normal conditions of historical data, the NPE model wavelet coefficients in different scales. Multilayer wavelet decomposition, the es

mrdpca-故障诊断 引入动态过程，改进主成分分析，能更好的监测故障-mrdpca-fault diagnosis Dynamic process is introduced to improve the principal component analysis, which can better monitor the fault.