xmrig

这是一个用c++编写的扫雷游戏，希望大家能提出意见 -used to prepare the mine c game, I hope you will express their views

this is a telephone sofe

这是一个计算机图形学中图形填充的算法，包括种子填充中简单填充算法和扫描线填充算法！-This is a computer graphics to fill the graphics algorithms, including seeds filling simple filling algorithm and scanning fill algorithm!

实现地震射线追踪和反演的frotran程序，适合地震勘探的同行(Seismic ray tracing implementation and inversion frotran procedures, seismic exploration for suitable peer)

MMC中优化开关频率的模块化多电平换流器子模块均压方法(Modular multi-level converter sub-module voltage equalization method for optimizing switching frequency in MMC)

基于STM32的双向dc的软件算法，电流电压双闭环系统(Bidirectional DC based on STM32)

用于求解sat可满足性问题，输入一个式子，判断是否始终满足(Solving the satisfiability problem of SAT,Enter a style to judge whether it is always satisfied)

在Linux系统下读取惯导数据，输出姿态角（横滚角、俯仰角、偏航角）(Reading inertial navigation data under Linux system, output attitude angle (roll angle, pitch angle, yaw angle))

说明：  根据塑性理论，硬化分为随动硬化和等向硬化，这个UMAT是一个随动硬化的例子。(According to the theory of plasticity, hardening is divided into Kinematic hardening and isotropic hardening. This UMAT is an example of Kinematic hardening.)

说明：  （1）心电信号预处理 心电信号是一种低频且含有众多噪声干扰的信号。针对心电信号存在的 噪声干扰问题，本文采用了平稳小波变换结合双变量阈值的方法对其进行去 噪处理。通过对心电信号进行八层平稳小波变换，得到不同的小波系数，采 用双变量阈值函数表达式对其进行处理得到新的小波系数，最后进行逆平稳 小波变换实现小波重构，完成心电信号去噪。Matlab 仿真结果显示，本文算 法的准确率较高，信噪比达到 84.5934dB。 （2）心电信号波形识别 反映心电信号的特征部分往往是信号的突变点，因此需要对心电信号的 突变点进行识别检测。本文通过采用二次 B 样条小波对去噪后的心电信号 进行四层平稳小波变换，在第四尺度上对心电信号的 R 波进行波形检测。 在第二尺度上以正确检测 R 波为基础，实现 Q 波和 S 波的波峰、起始点及 终止点检测。为了保证检测精度，本文设置了误检漏检机制。最后在第五尺 度实现了 P 波和 T 波波峰、起始点及终止点检测。仿真结果表明本文的算 法检测精度较高，准确率达到 99.81%。(This paper proposes an efficient method of ECG signal denoising using the adaptive dualthreshold filter (ADTF) and the discrete wavelet transform (DWT). The aim of this method isto bring together the advantages ofthese methods in order to improve the filtering ofthe ECGsignal. The aim of the proposed method is to deal with the EMG noises, the power lineinterferences and the high frequency noises that could perturb the ECG signal. This algorithm is based on three steps of denoising,)