Create 2 synthetic images

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使用Matlab实现粒子群算法对于函数FUN寻优(Achieved using the Matlab function FUN Particle Swarm Optimization for)

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.

多功能读入MATLAB的函数，可定义其参数(A signal object contains signal data, that is a collection of real or complex valued samples. A signal can be one or multi-dimensional. The number of dimensions is the number of axes that are needed to describe the the data.)

利用stft实现了跳频信号的跳周期估计 简单的进行了跳频信号的仿真，然后利用短时傅里叶变换对跳频信号进行分析，再对得到的时频矩阵提取时间平面，对时间序列去直流，进行傅里叶变换，最后实现得到跳周期。(estimates the hopping time of the sfh by stft )

基于matlab的源程序，用于绘制Rosslor方程的相图以及庞加莱截面(Based on matlab source program，used to draw phase diagram, poincare section of Rosslor equation )

沿直线最小化优化学习率的梯度下降法matlab版本的一个实例源代码，带轨迹收敛图。(a source code of steepest descent with learning rate to minimize along the line by matlab)

AN MATLAB DESIGN OF PV ARRAY

【实例简介】atlab读取多波段遥感影像，组合展示真彩色并分段线性拉伸

极有用的数据处理程序，方便处理实验数据，并取得数学表达式(matlab)-very useful data processing procedures, facilitate the processing of experimental data and mathematical expression made (Matlab)