A method for determining optimal decomposition scale in wavelet threshold de-noising
Huaiyu Tang, Zhiguo Liu, Li Xu · 2012
While taking wavelet transforms to signal de-noising in signal processing field, determining signal decomposition scale is the key factor for wavelet threshold de-noising. By using the Mallat algorithm to dyadic wavelet decomposition, the sequence length decays with 2 powers to the increase of decomposition. Therefore a method to determine the optimal decomposition scale based on small sample of white noise verification is proposed in this paper. Finally, simulation results indicate that the above method is effective.