compilemexface

自己编写的正弦函数的周期图法求功率谱密度的matlab程序，简洁明了，很容易看懂。(I have written a sine function periodogram seeking power spectral density matlab program, concise, easy read.)

allan variance calculation

说明：  生成单位正方形上均匀分布的1行10000列随机数，并画散点图。(A random number of 1 rows and 10000 columns of a uniform distribution on a square square is generated and a scatter plot is drawn.)

使用matlab程序读取迷宫图象文件,并进行处理,成功走出了迷宫.此程序只可以准确绘出只有一条路径的任意复杂迷宫(Read the maze procedure using matlab image files, and deal with, and successfully opened a maze. This procedure can only be accurately mapped with only one path of arbitrary complex maze)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

Distributed generation of electricity currently has a very important development. Several renewable and free energy sources like the wind (windmills), solar (photovoltaic or thermal) are increasingly used to produce electricity locally on remote sites. Because of the fickleness of the wind and light, energy management is one of the major challenges in wind power systems from the grid, as well as PV-diesel systems. We present in this paper, the design and implementation of an electronic load control module and optimal management of production for hybrid energy systems while ensuring the efficient.

大间隔最近邻居（Large margin nearest neighbor (LMNN)）分类算法是统计学的一种机器学习算法。该算法是在k近邻分类其中学习一种欧式距离度量函数。(Spaced nearest neighbor (Large margin nearest neighbor (LMNN)) classification algorithm is a statistical machine learning algorithms. The algorithm is learning a Euclidean distance metric function where k nearest neighbor classification.)

Rossler系统的反馈控制，将其从混沌状态控制到稳态(feedback control of Rossler system,this program control Rossler to steady state from chaotic state)

超效率DEA，可直接运行，但要注意输入量和输出量矩阵的形式，详细见内部说明文档(Super efficiency DEA)

说明：  根据滚降系数画出滚降系统频谱，并画出相应的时域波形(According to the roll-off factor to draw the spectral roll-off and draw the corresponding time-domain waveform)