SMS2

采用正交线性回归适应数据，利用数理统计中的回归分析，来确定两种或两种以上变量间相互依赖的定量关系的一种统计分析方法之一，(Orthogonal linear regression fit the data, the use of mathematical statistics in the regression analysis to determine two or more interdependent quantitative relationships between the variables of a statistical analysis methods,)

基于matlab平台下，可实现聚类分析功能。（直接实测代码）(Based on the MATLAB platform, clustering analysis function can be realized. (direct measured code))

说明：  kurtogram是一种四阶谱分析工具，用于检测和表征信号中的非平稳性。可用于轴承的故障诊断(The kurtogram is a fourth-order spectral analysis tool elaborated for detecting and characterising nonstationarities in a signal. It relies on the assertion that each type of transient is associated with an optimal (frequency/frequency resolution) dyad (f ; Df) which maximises the kurtosis. The Fast Kurtogram computes the kurtogram over a grid that finely samples the (f ; Df) plane. Its complexity is on the order of N log N. This is the "plain vanilla" code used in paper: J. Antoni, Fast Computation of the Kurtogram for the Detection of Transient Faults, Mechanical Systems and Signal Processing, Volume 21, Issue 1, January 2007, Pages 108-124.)

绘图函数用mcc生成的代码嵌入VC工程实例，Win32 Console版本(mapping function using mcc generated code embedded VC engineering example, Win32 Console Version)

这儿是一些与全变差有关的资料，对于研究全变差方法在图像处理中的应用十分有用！(Here is some information related to the total variation, total variation methods for research in image processing application is very useful!)

pca算法的matlab实现。希望大家看看，有所帮助吧。(Face recognition program simple, can be used as a beginner, learn.Face recognition program simple, can be used as a beginner, learn.)

用MATLAC做的非线性时间序列预测和平滑,可以用来做非线性模型的预测和估计(MATLAC done using nonlinear time series prediction and smooth, non-linear model can be used to make the projections and estimates)

有关图像修复的综述性文章，很有启发性，很是经典，介绍了图形修复的主流方法(Overview of repairing the image of an article is very enlightening, it is a classic, introduced a mainstream graphics repair)

calcul de coefficient mfcc

只要认真看， 一天就可以掌握DFT的原理，大家看看哦(As long as a day, you can master the principle of the DFT, we look at)