test_1

窄带FIR滤波器的设计与研究，希望对大家有帮助(design and study of narrow-band FIR filter )

说明：  用于单变量的偏最小二乘回归，直接给出回归系数。 X0是自变量矩阵，Y0是因变量向量，PRESS是去除其中某一个样本而回归出的方程对 缺失样本的误差估计，SS则是使用全部样本回归出的方程对同一个样本的误差估计。 在h个成分时，计算PRESS_h与SS_h-1，若1-PRESS/SS大于0.0975时，应增加成份。 [row,col]=size(pz) (For single-variable partial least squares regression, regression coefficients are given directly. X0 is the independent variable matrix, Y0 is the dependent variable vector, PRESS is to remove one of them out of the sample and the regression equation for missing samples error estimates, SS is the use of all of the sample regression equation out of a sample of the same error estimates. In h constituent, the calculation PRESS_h and SS_h-1, if the 1-PRESS/SS greater than 0.0975, to increase the ingredients. [Row, col] = size (pz) )

说明：  压缩感知代码,在matlab编程环境中实现。代码结构清晰易懂。(code of compression perception)

说明：  一时间离散序列的自相关函数计算与DFT得出的功率谱(For a discrete sequence calculated the autocorrelation function of the power spectrum obtained with the DFT)

egion growing approach is the opposite of the split and merge approach: An initial set of small areas are iteratively merged according to similarity constraints. Start by choosing an arbitrary seed pixel and compare it with neighbouring pixels. Region is grown from the seed pixel by adding in neighbouring pixels that are similar, increasing the size of the region. When the growth of one region stops we simply choose another seed pixel which does not yet belong to any region and start again.

基于K均值算法的模糊分类器具有很好的分类效果,用它可以很准确的对训练样本进行分类. 此方法是将K均值算法应用于训练数据的聚类,对每个聚类的半径和聚类的中心都是可计算的. 而模糊系统设计方法就是用模糊度来描述聚类, 对训练数据进行高效且准确的分类.(based on K-mean Algorithm,it can Classify the original data very well!)

Matlab中的四阶龙格库塔法m文件。 (Matlab in the fourth-order Runge-Kutta method m file.)

modified NSGA-II with sale and repair

降压Buck电路闭环matlab仿真，分享供大家使用(Buck Buck circuit closed-loop simulation matlab share for everyone to use)

说明：  REOF Varimax 旋转的EOF正交分解Matlab程序(EOF analysis rotated by VARIMAX--> REOF method)