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这是对MIMO技术的讲解资料，可以深入的学习到MIMO技术的核心！(This is a brief information MIMO techniques can be in-depth study into the core of MIMO techniques!)

emd用MATLAB编程，用幻灯片演示，很形象直观(emd MATLAB programming, using slide shows, a very visual image)

this octave exercise you will rst implement the k-means and GMM (Gaussian Mixture Model) clustering algorithms. Then you will create a BOW (Bag of Words) representation of sample images and use it to recognize object classes in these images

利用傅里叶变换，从理论上实现了混合信号的频谱分析，能够反应信号的真实频率及其幅值 (Fourier transform theory, mixed-signal spectrum analysis, to reflect the true frequency and amplitude of the signal )

This code develops dimensionless pressure, load carrying capacity, coefficient of friction, power loss, locations of maximum and terminating pressure for a finite width journal bearing. Parameters can be varied in the main file.

用matlab产生的仿噪声文件源码.可以代替语音信号进行实验测试.(Imitation with matlab noise generated source file. Can replace the voice signal test.)

说明：  matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。(matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) criterion and least squares (Least Square, LS) criteria for two categories, most of the two other algorithms kind of algorithm evolution.)

说明：  用mallat分解与重构算法实现一维信号的分解和重构(Mallat decomposition and reconstruction algorithm used to achieve one-dimensional signal decomposition and reconstruction)

New revised K-means聚类算法，为matlab函数，需要调用才能使用(New revised K-means clustering algorithm for matlab function, you need to call in order to use)

optics算法 [RD,CD,order]=optics(x,k)； Aim: Ordering objects of a data set to obtain the clustering structure Input: x - data set (m,n) m-objects 对象数, n-variables 变量数 k - number of objects in a neighborhood of the selected object(OPTICS Ordering Points To Identify the Clustering Structure)