摘要
本文分析了多小波变换的基本理论、变换过程及预处理方法,提出了基于多小波分析的地震资料随机噪音压制技术。通过对理论数据和实际资料进行处理,表明利用多小波变换能够有效压制随机噪声,同时还能较好的保留原信号的有效信息,是一种行之有效的去噪方法。
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.
出处
《内蒙古石油化工》
CAS
2012年第3期112-114,共3页
Inner Mongolia Petrochemical Industry
关键词
多小波
预处理
地震资料
随机噪音
去噪
Multiwavelet
Pre-filter
Seismic Data
Random Noise
Denoising
