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通过用最小距离分类判别方法，用MATLAB程序找出最小距离分类判别时的识别界面，从而进行识别已知的两类训练样本，并分析其识别错误率。(By using minimum distance classifier discriminant method, using MATLAB program to find the minimum distance classifier recognition interface when the judge, which is known to identify the two types of training samples, and analyze the recognition error rate.)

缺失部分方位信息的辐射计阵列有源校正 (Radiometer array azimuth information of the missing part of the active correction)

BBO算法的markov分析程序，是利用理论分析算法收敛性的不错代码(The BBO algorithm markov analysis program, theoretical analysis of the convergence of the algorithm good code)

用于计算地震作用下单自由度结构的响应和响应谱(Used to calculate the response and response spectrum of a single degree of freedom structure under earthquake action)

远场波束形成，MVDR波束形成，最小方差无失真响应(Far-field beamforming, MVDR beamforming, minimum variance distortion response)

Circular Array Beam Patterns

用if else 语句编写的利用白化权函数计算变压器油中气体故障依据(Prepared with the if else statement using whitening weight function calculation based on transformer oil fault gases)

说明：  实现QPSK的仿真，画出误码率和信噪比的曲线(QPSK simulation to achieve, draw the curve of error rate and SNR)

MATLAB计算机视觉与深度学习实战-运行视频(As a biological technology, face is difficult to be stolen and infection-free. In addition to that, it enjoys the authentication concealment and is never forgotten. Therefore, authentication based on face recognition will become the mainstream of future development. It has important and extensive application in various fields, and is also a hot topic at present biological characteristics identification technology research. Under the non-restrictive condition, the face recognition rate is not high, and its accuracy needs to be further improved. In this paper, the following aspects is analyzed)

A program for solving system of differential equations using runge kutta method.