石油地球物理勘探2011，Vol.46Issue(6)：984-988,5.
Hilbert时频谱在大地电磁数据处理中的应用
摘要
Abstract
Characteristics of Hilbert time-frequency spectrum for magnetotelluric data are discussed in this paper. Using these characteristics, noise identification, data selection and piece-wise stationary approaches are developed for MT data processing. Field magnetotelluric data from Maodeng area, Inner Mongolia are analyzed to verify the validity of the method. The results show that Hilbert time-frequency spectrum can accurately describe point mutations and continuous segment and frequency energy distribution of magnetotelluric data. This provides the conditions for noise identification, data selection and piece-wise stationary. Hilbert spectrum can be used to recognize high signal to noise ratio,strong energy and uniform data for further parameter estimation in order to improve processed data quality.关键词
大地电磁数据/Hilbert时频谱/噪声识别/数据筛选/分段平稳Key words
magnetotelluric data/Hilbert time-frequency spectrum/signal to noise ratio/data selection/piece-wise stationary分类
天文与地球科学引用本文复制引用
蔡剑华,胡惟文..Hilbert时频谱在大地电磁数据处理中的应用[J].石油地球物理勘探,2011,46(6):984-988,5.基金项目
湖南文理学院博士启动项目、湖南省"十一五"重点建设学科-光学基金、湖南文理学院优秀青年项目、常德市科技局计划项目联合资助. （）
