UILocalization

Labview的详细开发指南，包括：双精度数据不适于相等比较（内置函数）；顺序结构是“结构”吗？；到底什么是“节点”；XY GRAPH的输入参数形式 ；整型数据类型和内存映射；状态机的基本概念 ；状态机的基本类型顺序结构 ；状态机的基本类型之标准状态机 ；事件结构中的TIMEOUT进行数据采集合适吗 ；全局变量、移位寄存器和功能型全局变量的性能比较等。(Labview detailed development guidelines, including: double precision data is not suitable for equality comparison (built-in function) sequential structure is " structural" it? In the end what is " node" input parameters of the form XY GRAPH integer data types and memory mapping basic concept of the state machine basic types of sequential structure of the state machine basic types of state machine standard state machine event structure The TIMEOUT data collection suitable for you global variables, shift registers and functional performance comparison of global variables and so on.)

简单示波器，可以实现在前面板中显示各种波形图(Using LABVIEW to make Simple oscilloscope)

NI Style control group, which contains some style controls other than the self-contained controls, can beautify the interface style.

说明：  Labview OPC和欧姆龙PLC通讯(LabVIEW OPC and OMRON PLC communication)

利用labview，实现信号的中值-均值滤波(Using LabVIEW to realize median mean filter of signal)

歪度指标是描述信号概率密度函数的重要参数。在对非平稳信号进行时域分析时，利用歪度指标反映了振动信号的非对称性，用来判断轴承是否发生碰磨。本文件中将歪度指标独立制作了子VI，便于labview程序调用。(The skewness index is an important parameter to describe the probability density function of a signal. When the non-stationary signals are analyzed in time domain, the skewness index is used to reflect the asymmetry of the vibration signals, which is used to judge whether the bearings have been touched or not. This document will be independent of the index made a sub VI, easy for LabVIEW program calls.)

LabVIEW AR模型程序及AIC准则(LabVIEW AR model program and AIC criteria)

说明：  通过CCD识别目标的形状，可供学习视觉编程参考(Identifying the shape of the target by CCD can be used as a reference for learning visual programming.)

利用daqmx 实现双通道示波器，可通过数据采集卡测量模拟信号的波形和频率等(To use daqmx dual-channel oscilloscope, measurement of the waveform and frequency of the analog signal through a data acquisition card)

小波阈值去噪算法在LabVIEW中的实现(Implementation of Wavelet Threshold Denoising Algorithm in LabVIEW)