期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 10, 期 6, 页码 1488-1492出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2013.2260720
关键词
Adaptive analysis; autoregressive method; enhancement filter; noise reduction; picking; P-phase arrival
类别
资金
- CEI BioTic Granada
- Spanish mineco project APASVO [TEC2012-31551]
- Spanish micinn project EPHESTOS [CGL2011-29499-C02-01]
- EU project MED-SUV
This letter presents a novel picking algorithm which allows an automated determination of the P-phase onset time. The algorithm includes an adaptive multiband processing and noise-reduction techniques to allow a confident onset time estimation in signals strongly affected by background and/or nonstationary noise processes. Results using a set of 3780 computer-generated earthquake-like signals show that the accuracy is much better than that achieved by conventional STA/LTA algorithm. In addition, the accuracy of the proposed method is improved when it is combined with an autoregressive method. An application of the algorithm to a set of 400 natural earthquakes confirms that the combination of both algorithms provides a precise P-phase onset time estimation in real environments, overcoming the limitations associated with the autoregressive method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据