kts_zig_definition

最优化的ＭＡＴＬＡＮ实现，讲的很全面哦，希望对大家有所帮助(optimal MATLAB realized, said very comprehensive Oh, we want to help)

过热汽温的matlab仿真，pid已经调整好。(spuer matlab)

An EMG Onset and Amplitude Software

matlab 最小二乘法 曲线拟合 excel(least squares curve fitting excel matlab)

基于HFSS的不同形状微带贴片天线的仿真设计(HFSS simulation design different shapes based on microstrip patch antenna)

用于检测微弱信号的Duffing系统，这是我的毕业设计一部分，因为我做的时候也曾求取过很多资料，但是并没有找到，因此在我完成之后，上传这个代码，希望这个能帮助别人。 里面还有后续做的GUI界面实现的Duffing振子检测功能，可检测信号幅值和频率。(The Duffing system for detecting weak signals, this is part of my graduation project, because I also asked for a lot of information when I did it, but it was not found, so after I finished, upload this code, I hope this can help others.)

说明：  matlab界面设计，八数码界面，搜索算法，爬山法(matlab interface design, eight digital interface, the search algorithm, hill climbing)

自己在参加数模时写的公路车辆道路选择代码，和大家分享一下(When participating in their own digital-analog path chosen to write the code of road vehicles, and to share with you)

MATLAB function to initialize and call the solve_sps2d function, which implements a 2-D solution of the nonlinear wave equation using a psuedospectral / staggered A-B method, including attenuation modeled with two relaxation mechanisms. This example demonstrates harmonic generation within a plane wave given a B/A parameter of 5.2. To increase the distance of propagation, scale the sample grid (num_axpts) by a factor(s) of 2.( MATLAB function to initialize and call the solve_sps2d function, which implements a 2-D solution of the nonlinear wave equation using a psuedospectral /staggered A-B method, including attenuation modeled with two relaxation mechanisms. This example demonstrates harmonic generation within a plane wave given a B/A parameter of 5.2. To increase the distance of propagation, scale the sample grid (num_axpts) by a factor(s) of 2.)

说明：  ARIMA 模型是在平稳的时间序列基础上建立起来的，因此时间序列的平稳性是建模的重要前提。检验时间序列模型平稳的方法一般采用 ADF 单位根检验模型去检验。当然如果时间序列不稳定，也可以通过一些操作去使得时间序列稳定（比如取对数，差分），然后进行 ARIMA 模型预测，得到稳定的时间序列的预测结果，然后对预测结果进行之前使序列稳定的操作的逆操作（取指数，差分的逆操作），就可以得到原始数据的预测结果。(time series prediction ARIMA)