Abstract:

According to the theory of wavelet threshold denoising,a signal denoising method based on improved threshold function and adaptive threshold is put forward,which incorporates the advantages of hard and soft threshold functions,and makes up to some extent for the defects of traditional threshold denoising methods.The introduction of adaptive thresholding algorithm effectively saves the need to using the same threshold on each scale.Experimental results show that this method improves the signal-to-noise ratio and the denoising effect by overcoming the disadvantages of the poor denoising effect of hard thresholding and the distortion caused by soft threshold method.

Key words: improved thresholding function;adaptive threshold;wavelet denoising;signal-to-noise ratio