Multiwavelet transform and its application to suppress random noise of seismic data
LU Xiao-wei · Inner Mongolia Petrochemical Industry · 2012
Multiwavelet is a new development to the wavelet theory and it simultaneously offers orthogonality,symmetry,and short support.The paper introduces multiwavelet principles,transform and pre-filter methods.Based on GHM-like multiwavelet transform,a new method for noise reduction of seismic data is presented in the paper.The experiments of noise reduction to analog and real data show that multiwavelet transform is useful for noise reduction and can reserve signal features at the same time.