decision tree

Gravity forms extension for Wordpress

MS-VAR操作手册，内含示例代码，可以清晰的帮助需要的人了解MSVAR是模型建立过程。(MS-var handbook, it can clearly help people understand the MS-var modle and utilize and operate its codes.)

为锁相回路或锁相环，用来统一整合时脉讯号，使内存能正确的存取资料。PLL用于振荡器中的反馈技术。 许多电子设备要正常工作，通常需要外部的输入信号与内部的振荡信号同步，利 用锁相环路就可以实现这个目的。(For phase lock loop or phase lock loop, the unification and the integration of the pulse signal used to when, make memory can correct access material. The technology used in PLL oscillator feedback. Many electronic equipment to be normal work, usually need to external input signal and internal oscillation signal synchronization, with the phase lock loop can achieve this goal.)

说明：  遗传算法程序NSGA2，关于移动机器人路径规划。(Matlab program of path planning based on NSGA2 genetic algorithm)

说明：  基于MARS的PMSM无速度传感器矢量控制系统研究(MARS-based speed sensorless PMSM vector control system)

说明：  皮尔逊Ⅲ型适线软件，MATLAB编程，GUI，可修改(Pearson-III distribution,Optimum line software,MATLAB,GUI)

清华大学出版社sophocles j.orfanidis英文原版信号处理导论习题课答案,-Tsinghua University Press sophocles j.orfanidis Signal Processing Introduction to the English original answer Exercise Class,

是控制台程序，支持大部分的FTP命令。本程序设定用户名和密码都是toldo，FTP服务的主目录是C: emp，详见说明文件-Is a console program, to support most of the FTP commands. This procedure set the user name and password are toldo, FTP services, the main directory is C: temp, see the documentation

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HHT主要内容包含两部分，第一部分为经验模态分解（Empirical Mode Decomposition，简称EMD），它是由Huang提出的；第二部分为Hilbert谱分析（Hilbert Spectrum Analysis，简称HSA）。简单说来，HHT处理非平稳信号的基本过程是：首先利用EMD方法将给定的信号分解为若干固有模态函数（以Intrinsic Mode Function或IMF表示，也称作本征模态函数），这些IMF是满足一定条件的分量；然后，对每一个IMF进行Hilbert变换，得到相应的Hilbert谱，即将每个IMF表示在联合的时频域中；最后，汇总所有IMF的Hilbert谱就会得到原始信号的Hilbert谱。(The main content of HHT includes two parts. The first part is Empirical Mode Decomposition (EMD), which was proposed by Huang, and the second part is Hilbert Spectrum Analysis (HSA). Simply speaking, the basic process of HHT processing non-stationary signals is: firstly, the given signal is decomposed into several intrinsic mode functions (represented by Intrinsic Mode Function or IMF, also known as intrinsic mode functions), which are components satisfying certain conditions; secondly, Hilbert transform is applied to each IMF. The corresponding Hilbert spectrum is obtained, that is, each IMF is represented in the joint time-frequency domain; finally, the Hilbert spectrum of the original signal is obtained by summing up the Hilbert spectrum of all IMFs.)