Blood-pressure-cuff-_BOM

K均值聚类算法，可用于预先定义好种类数的样本聚类(K means clustering algorithm)

这是用蒙特卡罗方法计算music算法的误差分析，欢迎各位下载！(This is calculated using the Monte Carlo method of error analysis algorithm music, to welcome you all to download!)

The following Matlab scripts are used to plot the basic torque slip curves with changing input voltage, and input frequency.

求不动点，是有关数值代数的问题，求出函数的不动点(Seeking fixed point，It is related to the numerical algebra problem, fixed point functions obtained)

一个FFT改进版程序，使用kaiser窗；可以方便地打出信号的频谱包络，以及算出SNR/SINAD/THD/SFDR等各种数值。工程上使用非常便利(FFT with Kaiser Wndw, easily plot out the Frequent spetrum and the SNR/SINAD/THD/SFDR performance values)

一种主动学习算法，委员会查询算法，但这是一个改进的版本，通过核变化可以更高效的处理多维数据(An active learning algorithm, the Committee inquiry algorithm, but this is an improved version of the changes through the nuclear deal can be more efficient multi-dimensional data)

Wiley - Antenna and EM Modeling with MATLAB CHAPTER2

并联机构工作空间图形可视化，matlab编制的代码，请交流(Parallel Workspace graphical visualization, matlab code is compiled, please exchange)

最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。 费雪评分（Fisher评分） 围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox)

说明：  sfpc 一种预测控制实例，在理想建模的情况下有良好的控制品质(sfpc )