SFunction_PID

file start12 zip file for coding in code warrior assembly language.

电力系统分析王锡凡编辑的书，对于写电力系统相关的程序很有帮助。(Power system analysis PROCEEDINGS edited book, write a program useful for power system related.)

David G. Lowe的SIFT特征点检测及匹配源代码，内有自己总结的各文件及参数功能的PPT文档(David G. Lowe' s SIFT feature point detection and matching source code, the summary of each document has its own functions and parameters PPT documents)

自己写的Gabor方程函数，可以用来产生过完备的稀疏表示字典。(Gabor write their own equation function, can be used to generate the sparse representation over-complete dictionary.)

planovanie trajektorie mobilneho robota

经典功率谱估计的matlab代码，包括周期图法，ＢＴ法和Welch法，便于对经典功率谱估计性能的理解。(Classical power spectrum estimation matlab code, including Periodogram, BT France, and Welch law, to facilitate the performance of classical power spectrum estimation understanding.)

雷达模型MATLAB描述，为雷达的信号处理提供模型(MATLAB description of the radar model for radar signal processing to provide model)

Function to implement Linear Discriminant Analysis Usage:- [Xnew,V,mX,D] = lda(X,index,mX) [V,D] = lda(X,index) where:- X = concatenated grand profile vectors (GPV) i = class index of each vector Xnew = new feature vectors P = eigen vectors mX = mean of GPV (optional in input) D = eigen values

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.

pca进行主成分分析的源代码，对人脸识别，超分辨率有很好的作用(pca principal component analysis of the source code)