gpr-sumlation

说明：  美国关于自动测试中信号的描述信息，可以帮助理解自动测试的发展方向，对于基于信号的研究会有很大的帮助(In the United States on the automatic test signal descriptions to help understand the development of automated testing for the study based on the signal will be very helpful)

mathematica里面实现仿真的蒲丰投针实验(buffon experiment on mathematica)

rds: IR scene generation, MATLAB, Simulink, Countermeasure, IR Seeker, .... separation distance between the source and sensor through the duration of the simulation. .... rate of the line of sight angles from the IR imaging missile to the

对线性调频信号的回波脉冲，匹配滤波，脉冲压缩，MTI,MTD处理进行仿真(Simulation of LFM signal echo pulse, matched filtering, pulse compression, MTI, MTD processing is carried out)

说明：  简易实现车牌识别，有GUI界面。车牌识别系统将获取的车辆图像进行一系列的处理后，以字符的形式输出结果(Simple license plate recognition with GUI interface.The license plate recognition system processes the acquired vehicle image in a series of ways and outputs the results in the form of characters.)

排列熵与多尺度排列熵计算，源于matlab exchange(used for calculating permutation entropy and multiscale PE，which is from Matlab file exchange)

一个导弹拦截simulink仿真程序，内含目标运动函数、导弹运动模型、导弹制导与控制算法(A Simlink Simulation Program for Missile Interception)

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)

说明：  这是一种不错的牛顿算法，是老外编的，大家看看吧～(This is a good Newton algorithm, is a foreigner series, we look at it ~)

核主成分分析方法是主成分分析的改进算法，其采用非线性方法提取主成分(Kernel principal component analysis method is an improved algorithm of principal component analysis, which uses a nonlinear principal components extracted)