VMD

地下双层均与介质正演模型程序，适用于matlab，c，c++(Underground layer are forward model with the media program for matlab, c, c++)

该源代码应用于对传感器接收到的原始时域信号进行c扫描成像，应用于无损检测领域。(The source code is applied to the sensor receives the original time-domain signal c-scan imaging, used in non-destructive testing in the field.)

多相流动lbm计算，实现shanchen模型(Multi-component fluid, using a LB method, based on the Shan-Chen model)

窗函数法设计的带通滤波器。仅供新手参考的呦(filter)

Jacobi Iteration - Method of Simultaneous Displacement for a system of linear equations

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)

模态分析中位移数据处理的有效程序，可以非常容易的得到位移处理结果(Effective procedures modal analysis displacement data processing can be very easy to get the displacement results)

关于短路仿真的一些源程序同时是有关多目标优化的源程序(Some source of short-circuit emulation is also the source for multi-objective optimization)

Matlab用遗传算法求解多目标非线性的数学模型(Matlab genetic algorithm for multi-objective nonlinear mathematical model)

采用卡尔曼滤波的方式对时间进行预测，有较好预测精度(Kalman filter is used to predict the way time high prediction accuracy)