Cmeans

example of channel modeling

localization for WSN

分形维数处理声发射信号时间序列上的撞击率(Acoustic emission signal processing with fractal dimension)

说明：  simulink工具箱的入门PPT讲解，有附带m文件，强烈推荐(simulink toolbox PPT talks, with m files are strongly recommended)

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

Tracking and Recognizing Rigid and Non-Rigid Facial Motions using Local Parametric Models of Image Motion

Computes solution of difference equations

基于Backstepping的船舶航行自适应鲁棒非线性控制器设计(Design of Backsteping based adaptive robust nonlinear controller of ship course.)

雷达测伪距时域相关法matlab仿真源码(The radar altimetry Pseudorange domain correlation method matlab simulation source)

包含两个文件KMEAN.h,KMEAN.CPP,使用方法非常简单，将数据存成.dat文件，即可对其进行Ｋ均值聚类(Consists of two documents KMEAN.h, KMEAN.CPP, very simple to use, the data saved as. Dat file can be K-means clustering)