A New Wavelet De-noising Method under Non-Gaussian Distribution
Hanfang Li · Journal of Hubei University of Technology · 2011
The classical wavelet threshold de-noising methods are usually completely ineffective under non-Gaussian noise.This paper presents a new adaptive wavelet de-noising method.The approach uses the newest quantile coupling theory and establishes asymptotic equivalence with two models.It turns the signal with unknown noise into a standard Gaussian noise signal before wavelet de-noising and then uses the classical wavelet de-noising approaches.Monte Carlo simulation results also show that the new approach can greatly improve the de-noising effects.