Wavelet denoising method used in the vortex flowmeter

For solving the problems of signal extraction from noisy data, wavelet has been proven to be a powerful tool both from an empirical and asymptotic point of view. In this context of wavelet denoising, we study the specifically modified criteria as flexible forms of thresholding for practical vortex flowmeter signals. Four key factors are discussed. Experimental results show that this method can be used to enlarge the lower measure limit of the vortex flowmeters.