The Research Of Virtual Instrument System Based On DSP And LabVIEW

With the development of modern instrument and computer technology, the virtual instruments are introduced to measurements. The virtual instrument is an important application in the field of CAT. Compared to traditional instrument, virtual instruments have the advantage of diversity, flexibility and so on. We expect that virtual instrument will be applied more and more, and the technology used in virtual instrument will be updated continually. The research on virtual instrument will also be deeper and deeper.In this paper, we design the virtual instrument-signal processing system, which is firstly composed of LabVIEW and TMS320F2812 double-DSP platform, combines the abundant on-chip resources and better data-processing ability of TMS320F2812-DSP with LabVIEW which is a graphical programming virtual software developing platform owning powerful function. Then we control the data collection of the system in CCS(Code Composer Studio)and transmit them to PC forfurther process through USB. It realizes the basal functions of Virtual Instrument, such as a virtual oscillograph, four channels multifunctional signal generator and spectrum analyzer. This system is characterized by higher speed ,more mighty function, lower cost, one-system for all-purpose, faster graphical programming, stronger universality and so on. It can be used in many fields including education and scientific research, test and measurement, auto-control, info-processing, etc. The double-DSP platform can be used as an embedded system hardware platform to further develop various applications and to enlarge application fields.In this paper, the introduction of the virtual instrument system and DSP are summaried firstly. At the same time, the concrete project and probable steps are also presented. Then, based on the methods of Wavelet Analyse and Butterworth filter, the signal including the Gaussian White Noise and the Chaos Noise of Logistic is De-noising Proceeding using this Virtual Instrument. And the results of Signal-to-Noise ratio are greatly enhanced by wavelet analysis method. It is shown by experiment that this method was effective.At last, the foreground of this virtual instrument system is prospected.