Dijkstra

This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames.

美国弗州大学的讲义,用cotas环实现载波恢复(The United States notes the University of Virginia, and realize carrier recovery loop cotas)

高斯插值拟合用，在数据较少的情况下拟合精度慢速要求，三到四阶。(Lagrange interpolation fit to use, in the case of less data fitting precision of slow demand, three to four bands.)

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)

在matlab上对svpwm进行仿真，其中要注意，仿真算法选择obd23tb，仿真时间为0.06s。(In matlab simulation of svpwm, which pay attention to the simulation algorithm selection obd23tb, simulation time is 0.06s.)

可以提取出图像中的红色信息，坐标空间变换（直角坐标系到极坐标系），彩色模型变换（RGB到HSI）(Red information can be extracted in the image coordinate space transform (Cartesian coordinates to polar coordinates), color model transformation (RGB to HSI))

降维的mimo测向算法，基于music算法的mimo侧向算法 (reduced dimensional music algorithm)

五点差分格式解重调和问题，采用适当的技巧将其分解成两个Possion方程求解(Five-point difference scheme solution Biharmonic)

code test LAB Embeded system

Modulation Index and varying carrier frequency for PWM inverter with outputs