kalmanaa

Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors aM = assume that the mean is aM n = number of principal components to extract (optional) <output> V = ensemble of column eigen-vectors D = vector of eigen-values M = mean of X (optional)

me doin thesis in IP

南极坐标转换，平面二维坐标系到极方位等角坐标投影(antactic coordnate system transform)

现代信号处理的书籍。信息类人员必读书籍。里面的许多信号处理模型可以用matlab实现仿真(Modern signal processing books. Information on categories of persons reading books. Many signal processing model which can be used for simulation matlab)

FA算法，能很好的解决函数优化问题，对于解高维函数有较好的实验结果(FA algorithm can solve function optimization problem, the solution of high-dimensional function for better results)

lanczos滤波程序,可按不同的频率对特定序列滤波(lanczos filtering process, according to a different frequency filtering for specific sequences)

介绍了使用MATLAB绘制相图及庞加莱映射(nonlinear oscillation)

Training based channel estimation

用matlab写的经验模式分解程序。可作希尔伯特-黄变换，画时频图。(Empirical mode decomposition process Written by matlab .It Can be used for Hilbert- Huang Transform and time-frequency analysis.)

This documents describes about Region of interest(ROI) in the image