wgPlot

雷达直达波和目标回波之间抵消，两个信号一强一弱，既可以抵消强信号，也可以抵消弱信号(Radar direct wave and the target echo offset between the two signals a strong one weak, only to be offset by a strong signal, you can also offset the weak signal)

说明：  基于MATLAB的仿真工具，适合信号处理方面的朋友使用，值得大家学习。(MATLAB-based simulation tool for friends to use signal processing, is worth learning.)

灰色模型，通过对少数数据的分析，鉴于灰色模型的使用，对未来进行预测。(Gray model, through the analysis of the data on the minority view of gray model used to predict the future.)

Ising 1D heat bath algorithm

通过修改inp文件，用于对abaqus的模型进行自动创建裂纹的程序(by modifying inp. file, used for create a crack in abaqus model)

设计IIR数字陷波器，采样率为6.4kHz，陷波频率点为50Hz、150Hz、250Hz；c1.mat为输入数据文件；并且包括陷波前后的频谱分析。(Design of IIR digital notch filter, sampling rate of 6.4kHz, notch frequency point of 50Hz, 150Hz, 250Hz c1.mat for input data files and includes the notch before and after the spectrum analysis.)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

这是基本的粒子群算法，里面还附有一个常用的测试函数。(This is the basic particle swarm algorithm, which is also accompanied by a commonly used test functions.)

温度PID控制功能块FB58使用入门 西门子自适应 以及C语言源代码(PID temperature control function block FB58 Getting Started Siemens adaptive and C language source code)

利用matlab设计滤波器，有原理说明及其matlab的代码实现(A filter was designed using matlab, there are principles of note and its matlab code to achieve the)