pca3

介绍了相关的说明文档及应用手册，及其机械构造，尺寸等(Introduce the relevant documentation and application manual, and its mechanical construction, size, etc.)

用matlab编制的，用GP算法计算关联维数，希望有用(Using matlab prepared, calculated correlation dimension algorithm with GP, hope useful)

杂草算法, 2006年新提出的算法，matlab程序(IWO algorithm)

這是一款好用的 streaming 軟體，重點還是免費的(This is good for streaming software, the focus is still free)

This Code compute the Mahalanobis distance between two gussian distribution.

在MATLAB环境下开发的基于AIC和MDL准则的远场入射新号的数目估计，估计准确度都很高，仿真效果理想(Developed under the MATLAB environment, based on AIC and MDL criteria for the far-field incident estimated number of new numbers, it is estimated have a high accuracy, simulation results are satisfactory)

混沌的G-P算法，利用G-P算法计算混沌时间序列的关联维数(Chaos GP algorithm, the use of GP algorithm for chaotic time series of the correlation dimension)

遗传算法基本理论 经典应用实例 非数值并行算法：遗传算法(The basic theory of classical genetic algorithm application examples The numerical algorithm of parallel genetic algorithms. )

基于matlab平台的启发式智能算法，蝙蝠算法程序(Heuristic intelligent algorithm based on MATLAB platform, bat algorithm program)

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)