Signal_Processing

自己写的几个matlab的函数，自己处理数据是常用。有滤波函数、平移函数等。处理后新生成的数组和原数组大小相同，行列特性也相同。(Himself wrote several matlab functions, deal with their own data is commonly used. There are filtering function, translation function, and so on. The new array is generated after treatment and the original array the same size, the ranks of features are the same.)

It is a software testing matlab file.

prograns for Mimo systems

A single perceptron code with backpropagation training algorithm designed for classification problems.

该程序是使用Matlab仿真协同通信的DF（解码转发）基本性能，基本模型S-R-D三个节点，接收端使用MRC（最大比合并）。固定DF由于SR信道的错误，其性能受到限制，在大SNR情况下不能获得有效分集。而当SR距离足够近的时候，可能获得一定的分集增益。(The program is a cooperative communication using Matlab simulation DF (decode forwarding) basic performance, the basic model of the SRD three nodes, the receiver uses the MRC (maximum ratio combining). Fixed DF error of the SR channel, its performance is limited, can not obtain a valid diversity in the large SNR case. When the SR close enough, you may get some diversity gain.)

睫毛最优阈值化处理之后用基于连通域搜索的方法进行噪声点删除，主要用到函数bwareaopen，代码包含在jiemao.m文件中。(Optimal threshold eyelashes after treatment with the method based on connected local search to remove the noise points, mainly used in the function bwareaopen, the code contained in the jiemao.m file.)

实现FastICA功能，非线性函数分别选取高斯函数，三次函数和正切函数。(Realize FastICA function, non-linear function were selected gaussian function, three function and tangent function.)

FAce recognitionn using PCA method

说明：  采用松弛因子法处理多学科协同优化问题的一个具体算例，验证了协同优化方法的有效性(Relaxation factor treatment effectiveness of multidisciplinary collaborative optimization problems, a specific example, verify the collaborative optimization method)

自适应建模与其模型的逆估计，MATLAB编写，加高斯白噪声(Adaptive Modeling and its inverse model estimates, MATLAB prepared, add white Gaussian noise)