EEMD

这是我的毕业设计，是一个有关PCA与KPCA对数据进行处理提取其特征的程序，采用C++与MATLAB设计而成。(This is my graduation project, a PCA and KPCA on the data processing procedures for extracting the features using C++ and MATLAB design from.)

说明：  求出最小逼近的算法，帮同学写的直接就可以运行 (Find the lowest approximation algorithm, to help students write directly on the run)

single phase dual converter circuit

论文 Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty 的算法源代码，是sparse+l1+lq,1的稀疏属性选择算法。( Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty Problem min 1/2 || A x- y||^2+ lambda_1* |x|_1+ lambda_2*|x|_{q,1} q=2, infty)

This function make iteration classification to find the best feature combination

说明：  matlab kmeans 聚类算法 %X，样本（行为样本，列为属性) %idx，返回每个样本的类别，1，2，...,k %k,聚类数量(matlab kmeans clustering algorithm)

A MATLAB-based three-dimensional viewer

关于Kalman滤波的matlab程序，可以下载学习下，共同交流(On the Kalman filter matlab program)

说明：  基于matlab的通信系统仿真系列。A simulated oscilloscope and a simulated spectrum analyzer。供刚接触到matlab通信系统仿真的朋友使用。(Matlab-based communications system simulation series. A simulated oscilloscope and a simulated spect rum analyzer. Matlab for the counting of the communications system simulation using friends.)

This is the demo file for L1 adaptive controller with a simple unknown parameter: dot x(t) = Ax(t) + b(u(t) - heta^ op x(t)) DoSims.m: This script initializes the model parameters, run the simulation L1Model_sec1.mdl:the implementation of L1 adaptive controller. Refer to the following paper for background: C. Cao, N. Hovakimyan, Design and Analysis of a Novel Adaptive Control Architecture with Guaranteed Transient Performance, IEEE Transactions on Automatic Control, vol.53, No.2, pp. 586-591, 2008.