SuoFang

高斯过程是一种非参数化的学习方法，它可以很自然的用于regression，也可以用于classification。本程序用高斯过程实现分类！(Gaussian process is a non- parametric method of learning, it is very natural for regression. can also be used for classification. The procedures used to achieve classification Gaussian process!)

最优波束形成。最优波束形成器能在干扰方向形成深的零陷。(Optimal beamforming. Optimal beamformer is formed in the depth direction of the interference nulling.)

大量的函数型数据分析研究专注于对函数修匀方法、函数对齐方法(registration)、函数型主成分分析( FPCA)、典型相关性分析(FCCA)及函数型线性模型等的研究。(Functional data analysis、Functional Principal Component Analysis)

内容为matlabsimulink通信系统仿真配套例程， 有大量例程(this is example of communation program for matlab simulink)

背景消去算法，Mixture of Gaussian frame_difference approximate_median(Background_Subtraction_with_MCS Mixture of Gaussian frame_difference approximate_median)

Example of key performance indicators applied on a real problem

BP Alphabet learning program as data classification example

小波分析理论与matlab7实现的例程,第10章一维小波变换的MATLAB实现(Wavelet analysis theory and realize matlab7 the routines, Chapter 10, one-dimensional wavelet transform MATLAB realize)

说明：  实现了谱估计的算法，Matlab实现了直接法、间接法和改进的直接法谱估计的功能。(Achieved a spectral estimation algorithm, Matlab implementation of the direct method, indirect method and direct method of spectral estimation to improve function.)

线性分类与回归的工具箱，里面含有详细使用说明(Linear classification and regression toolbox, which contains detailed instructions for use)