Wavelet Denoising and Its Implementation in LabVIEW

In the process of signal testing, often exposed to interference and influence of all kinds of noise signal, such as data collection and transmission and so may introduce noise. So in practical applications, before analysis of the data measured, the need for de-noising processing. At present, there are two de-noising methods, the traditional Filtering method and the wavelet denoising method, when in the actual test, different noise and signal with the choice of different denoising methods. Wavelet methods using denoising is an important aspect of wavelet analysis applied to the actual. This article described several commonly used principles of wavelet denoising methods, and achieved wavelet denoising method based on threshold in the LabVIEW Which is a develop software of virtual instrument. Finally, compared to the wavelet denoising and traditional FFT denoising, and verified the superiority of the wavelet denoising.