Statistical-recognition-

几个非常实用的神经网络实例，是用matlab语言编写(Several very practical examples of the neural network, using matlab language worth learning!)

基于小波变换的图像融合源代码的matlab实现(image fusion)

基于BP算法的massive mimo的均衡算法(Equalization algorithm for massive MIMO based on BP)

基本的ICA算法代码,进行有效的特征提取，是一种降维方法。(the matlab code of ICA)

解相关LMS自适应滤波器程序，实现对信号的自适应滤波。(Decorrelation LMS adaptive filter procedures to achieve the signal adaptive filter.)

说明：  matlb的模糊控制的实现，他是控制类专业的很好的学习模糊控制的参考(matlb fuzzy control, and the types of control he is a good professional learning fuzzy control of the reference)

clark,s transformation using matlab

gmcalab 快速广义的形态分量分析算法，用于图像修复，稀疏分解、降噪等，用途广泛。从mca主页下载的(gmcalab fast generalized morphological component analysis algorithm for image restoration, sparse decomposition, noise reduction, and versatile. Mca downloaded from the home page)

用形态学中骨骼化方法实现了图像细化，为后续工作如特征点提取提供了良好的素材(Method with skeletal morphology achieved thinning, for the follow-up, such as feature extraction provides a good material)

一种自适应滤波算法，适应滤波、去噪的一个小程序(An adaptive filtering algorithm )