DENOISING WITH SOFT THRESHOLDING

Abstract

A comparison of several wavelet denoising methods is presented in this research, and the 
outcomes were analyzed. Through wavelet domain thresholding, the denoising technique eliminates noise. 
The "rigrsure" approach is shown to provide the best results. One advantage of the discrete wavelet 
transform is that it provides a combined time-frequency representation of the signal. Additionally, it is the 
best system in the area of signal detection and works with both stationary and non-stationary signals. Digital 
filter banks and multi-resolution analysis are used to achieve the discrete wavelet transform.