VelAlignment

说明：  使用先进的人工鱼群算法求解线性约束规划，此代码为原创，带注释，易读。(The use of advanced artificial fish school algorithm for solving linear constrained programming, the code for the original, with annotations, easy to read.)

文件名：C-C法计算时间延迟和嵌入维数 C-C法计算出相空间重构的时间延迟和嵌入维数 文件名：dingyi_lyapunov 采用定义法计算lyapunov指数 文件名：fencha 求lorenz系统分岔图（采用区域最大值法） 文件名：m_test 求解嵌入维数m 文件名：pinghengdian 求lorenz系统在某一系数下的平衡点，并求出特征值 文件名：poincare 求lorenz系统的poincare截面 文件名：PSD 求lorenz系统的功率谱 文件名：tau_test 相空间重构时间延迟求解 文件名：time_test lorenz系统时域分析，相平面图 文件名：wolf_lyapunov wolf法求解lyapunov指数（需要配合求解m和嵌入时间延迟t使用） 文件名：xiao_shuju 小数据量法求解lyapunov指数 文件名：zheng_jiao 正交法求lyapunov指数谱(choastic time series analysis)

分数阶传递函数的类描述，绘制bode图、nyquist图(fractional order system， bode )

基于Matlab的特征提取源程序，对特征提取很有用的。(Matlab feature extraction based on feature extraction of the source program, very useful. )

实数编码的小生境PSO算法优化多模态函数(Real-coded niche PSO algorithm for multimodal function optimization)

This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse Filtering Tracking) method. The SIFT pitch period detector uses a secondary autocorrelation peak in order to detect and correct pitch period detection errors due to effects such as pitch period doubling and related phenomena.

Function to implement Linear Discriminant Analysis Usage:- [Xnew,V,mX,D] = lda(X,index,mX) [V,D] = lda(X,index) where:- X = concatenated grand profile vectors (GPV) i = class index of each vector Xnew = new feature vectors P = eigen vectors mX = mean of GPV (optional in input) D = eigen values

CHOOSENK All choices of K elements taken from 1:N

multipath channel modelling

群体智能优化：粒子群算法，是一种以鸟群觅食这种社会行为为基础的最佳化寻优技术(particle swarm optimization)