a

labview2017破解文件，向下兼容，本人亲测，可以破解labview2016,labview2015,labview2014等，破解方法先下载此文件，在百度里搜索labview破解教程就可以了(Labview2017 crack file, down compatible, I pro test, you can crack labview2016, labview2015, labview2014, etc., crack method, first download this file, search in Baidu LabVIEW crack tutorial on it)

二代小波包分析，能够将选择的文件进行二代小波分解，分解层数为5层(Wavelet packet analysis)

Labview与变频器的485通讯实现代码，包含CRC校验子VI。(The 485 communication code between Labview and frequency converter includes CRC checker VI.)

CCD相机控制程序，用labview 驱动线阵CCD，可以设置采样时间/频率/曝光度等参数。(CCD driver,drive CCD camra with labview, with controlling of sample time parameter.)

LabVIEW脉搏波采集程序，可以控制采集的开始和停止(Pulse acquisition of LabVIEW)

利用LabVIEW的Active X模块以及STK的Connect 模块实现两种软件交互的方法，通过LabVIEW 的Active X功能连接STK，利用Connect模块中的指令驱动STK产生卫星的相关数据，最终将有关数据返回至Lab VIEW中并显示出来，实现了Lab VIEW与STK的无缝连接(Design of a Satellite Orbit Prediction Visualization Platform Based on Lab VIEW and STK A method of designing a satellite orbit prediction visualization platform based on a hardware-in-loop validated simulation system of small satellite is introduced． Satellite Tool Kit is an analysis software widely used in simulating orbit system for satellite ， but STK can’t accomplish the relevant function that acquired by the hardware- in-loop validated simulation system mentioned． Based on this requirement ， a method of using Active X technology in Lab VIEW and STK/Connect module to interact the two kinds software is introduced． Through calling STK and u- sing Connect module in STK to obtain the relevant data ， finally all the datas in need within a window synchronously can be displaied ， which realized the connection between Lab VIEW and STK ， also accomplished the relevant func- tion and has a applied value． )

运用Labview进行虚拟示波器串口设计的源码(The use of Labview virtual oscilloscope serial design source)

如何制作LabView控件，赖卫国整理，方便可行(How to make labview control, Lai Weiguo collation, convenient and feasible)

说明：  Labview 读取office Excel文件内容(Labview read Excel File)

基于LABVIEW 环境编写的PCA程序，可以实时实现数据的特征提取。(LABVIEW-based environment for the preparation of the PCA program, you can achieve real-time feature data extraction.)