quadgui

将实信号变换为复信号，提取信号幅值、相位角，计算相位同步指数，分析各组信号数据之间的同步稳定性。(The signal is converted into a complex signal, extraction of signal amplitude, phase angle, calculation of phase synchronization index, analysis of stability of synchronization between each signal data.)

简单实用的全局敏感性分析程序，可在MATLAB中运行(Simple and practical global sensitivity analysis program)

三相有锁相环的逆变器并网系统，simulink搭建图，好用。(There are three-phase inverter phase-locked loop and network systems, simulink build maps, easy to use.)

说明：  MCU控制BUCK-BOOST电路时电压反馈的解决-技术文章-模拟与电源技术(Solution of Voltage Feedback in MCU Controlling BUCK-BOOST Circuit-Technical Article-Analog and Power Supply Technology)

ASM 30 User Guide.pdf

Matlab图形图像处理函数,内有主要命令和函数,希望能帮助你学习matlab(Matlab graphics,image processing functions,,there are major commands and functions,,hoping to help you learn matlab)

opnet仿真环境下搭建的一个涟漪路由的无线传感器网络平台。(opnet simulation environment ripples build a wireless sensor network routing platform.)

基于matlab的LMS最小均方算法仿真(Matlab-based LMS least mean square algorithm simulation)

利用蒙特卡洛原理实现故障树可靠性的分析。(The reliability of fault tree is analyzed by Monte Carlo.)

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)