dehdb3

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

robust control in power system

keplerslasw of plantery motion

lof function over gray level transformation image

Simple code to learn how to code a Kalman Filter in Matlab

多传感器信息融合技术相关的代码，适用于初期和中期学习参考(Multi-sensor information fusion technology related code, suitable for early and mid-study reference)

说明：  基于SFM的三维重建MATLAB程序，值得借鉴(SFM - based three - dimensional reconstruction of MATLAB procedures, worthy of reference)

该文针对具有两个相互重叠频率成分的密集频谱 ,分析了两个重叠频率成分在复频域的叠加情况 ,在不增加采样长度的条件下 ,通过向量分解和单频率成分的识别、校正方法 ,推导出其校正公式。(In this paper, with two overlapping frequency components of the dense spectrum of two overlapping frequency components in the frequency domain stacking situation, in terms of not increasing the sample length, through the vector decomposition and single-frequency components of the identification, correction derived the correction formula.)

拉普拉斯金字塔程序，生成前三级金字塔程序(Laplacian pyramid program, the program generated the first three pyramids)

说明：  清华大学出版社出版的科学与工程计算技术丛书/MATLAB GUI程序设计得课件以及源代码(Science and Engineering Computing Technology Series/MATLAB GUI Programming Courseware and Source Code Published by Tsinghua University Press)