lorenz_communication1

递推遗忘因子最小二乘 recursive forgotten factor ls(recursive forgotten factor ls)

说明：  基于matlab的标准粒子群优化算法,?趍atlab的标准粒子群优化算法,(Matlab based on the standard particle swarm optimization algorithm,? 趍atlab standard particle swarm optimization algorithm,)

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.

Assistive technology for people made code in matlab

Computational Intelligence

Matlab code for image merging

资料中介绍了几种经典信噪比估计算法的编码并进行比较，包括误差矢量幅值法、最大似然估计、迭代法以及奇异值分解法。(Data introduces several classical coding SNR estimation algorithm and compared, including error vector magnitude, maximum likelihood estimation, iterative method and singular value decomposition.)

说明：  本代码描述的是有关灰狼算法的研究，这个代码有详细的内容说明与简介，网络上的代码普遍有错误，本人将所有的代码全部实现并改正了错误。供大家学习参考(This code describes the research on the gray wolf algorithm. This code has detailed description and introduction. The code on the network is generally wrong. I have implemented all the code and corrected the error. For everyone to learn reference)

BPSK modulation system not fully

Ecuacion de calor de newton