code

说明：  R/S分析，matlab程序，虽然比较繁琐，但还好使，请多多关注(R/S)

利用混合同余法产生均匀随机数，并利用均匀随机数生成高斯白噪声序列。(Mixed congruential method to generate uniform random numbers, and using the uniform random number generator Gaussian white noise sequence.)

EMD经验模态分解,用于信号处理，常和hilbert-huang变换一起用于信号特征提取、信号消噪等领域。(EMD EMD for signal processing, often with hilbert-huang transform for signal feature extraction, signal de-noising and other fields.)

用共轭梯度算法——FR算法求解无约束最优化问题(Conjugate gradient algorithm- FR algorithm for solving unconstrained optimization problems)

使用matlab中仿真实现差分进化算法，可在多目标优化的应用的使用(matlab differential evolution (DE) algorith)

用matlab完成高斯回归过程，运用hyperparameter对covriance进行选择(Matlab complete regression with Gaussian process, the use of hyperparameter selection covriance)

使用Python编写的AI程序Pacman，可以适合AI的初学者，有BFS, DFS, UCS, A Star 运行的命令在commands.txt文件里 可以用 bash commands.txt演示(AI programs written in Python Pacman, AI can fit beginners, there BFS, DFS, UCS, the command runs in commands.txt A Star file can bash commands.txt demo)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

CALCULATING CHANNEL CAPACITY FOR MIMO CHANNEL IN DIFFERENT FORM.HERE WE CONSIDERED TWO,THREE AND FOUR INPUT AND OUTPUTS.

自适应滤波的很多经典算法以及一些新的算法，FAP,APA,FAPA,RLS,LMS,NLMS(Many classical adaptive filtering algorithms as well as some new algorithms, FAP, APA, FAPA, RLS, LMS, NLMS)