EMDwanzhengchengxu

电动执行机构是连接控制器与执行器(阀门)的部件，从控制出来的是离散信号，经零阶保持器后成为一个方波 信号，值都是阶跃跳动，而阀门的实际工作是有一定的行程时间的，即实际上阀门是不可能实现阶跃跳动的，故此需要一个电动执行器，将控制器的阶跃信号变为连续变化信号，假定阀门的行程时间与阀门开度变化成正比。(Electric Actuator is connected controller and actuator (valve) parts, from the control out of the discrete signal by zero-order cage became a square wave signal, values are step-beating, but the actual work of the valve there is a certain amount of travel time, that is, in fact the valve can not be achieved step beat, and therefore need an electric actuator, the controller of the step change in the signal into a continuous signal, assuming that the valve and the valve travel time changes in direct proportion to the door opening.)

輸入兩個由TF, ZPK, SS 或 FRD建立的system function後，程式會自動計算在riemann plot上的Chordal distance值。(function delta=chordal(G1,G2) This is the Chordal distance calculation tool on riemann plot. )

根据简谱和十二平均律自动合成音乐，以及对音乐进行基频分析，分解为简谱。(According to the law and the 12 chords on average to synthesize music, as well as to the music on a frequency analysis, the decomposition for chords. )

永磁同步电机滑膜变结构无速度传感器控制仿真 可以实现有速度传感器启动运行，和无速度传感器运行。 (Speed sensorless control of permanent magnet synchronous motor synovial variable structure simulation can implement a speed sensor is up and running, and speed sensorless operation. )

PSIM软件APF控制，采用PI控制，治理效果明显(PSIM software APF control, PI control, effective governance)

3-8译码器，可以讲三位二进制输入转换为8中取1的输出信号(3-8 decoder, you can talk about the three binary input is converted to 8 of the output signal from 1)

these m file can generate walsh sequence , gold sequence and walsh&m multiplexed sequence and can compute two sequences s correlation properties.

说明：  光伏电池最大功率点的模糊控制算法（Fuzzy）(Fuzzy Algorithms for Controlling the Maximum Power Point of Photovoltaic Cells)

this program calculates independent component

本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。(The purpose of this paper is threefold: firstly, the local Successive Mean Quantization Transform features are proposed for illumination and sensor insensitive operation in object recognition. Secondly, a split up Sparse Network of Winnows is presented to speed up the original classifier. Finally, the features and classifier are combined for the task of frontal face detection. Detection results are presented for the MIT+CMU and the BioID databases. With regard to this face detector, the Receiver Operation Characteristics curve for the BioID database yields the best published result. The result for the CMU+MIT database is comparable to state-of-the-art face detectors.)