An Iterative Wavelet Threshold for Signal Denoising

Understand

This paper introduces an adaptive filtering process based on shrinking wavelet coefficients from the corresponding signal wavelet representation.

• The filtering procedure considers a threshold method determined by an iterative algorithm inspired by the control charts application, which is a tool of the statistical process control (SPC).
• The proposed method, called SpcShrink, is able to discriminate wavelet coefficients that significantly represent the signal of interest.
• The SpcShrink is algorithmically presented and numerically evaluated according to Monte Carlo simulations.