{"title":"地震时频分析中s变换的时间重分配多同步压缩","authors":"Wei Liu, Yang Liu, Shuangxi Li","doi":"10.1007/s11600-023-01137-x","DOIUrl":null,"url":null,"abstract":"<div><p>To accurately capture the time-frequency spectral anomaly, a novel time-frequency analysis (TFA) method, termed as time-reassigned multisynchrosqueezing S-transform (TMSSST), is proposed. In this study, we derive a N-order group delay (GD) estimator designed for frequency-domain S-transform to cope with the signal with fast varying instantaneous frequency (IF). By introducing an iterative reassignment procedure, the proposed TMSSST not only can produce a highly energy-concentrated time-frequency representation (TFR) but also can reconstruct the original signal with a high accuracy. Three synthetic signals are employed to validate the effectiveness of the proposed method by comparing with some classical TFA techniques such as S-transform (ST), synchrosqueezing S-transform (SSST) and time-reassigned synchrosqueezing S-transform (TSSST). It is shown that the TMSSST does a better job in addressing strongly frequency-varying signal. Application on field data further indicates the potential of highlighting subsurface geological structures and thus, facilitating seismic interpretation.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-reassigned multisynchrosqueezing of the S-transform for seismic time-frequency analysis\",\"authors\":\"Wei Liu, Yang Liu, Shuangxi Li\",\"doi\":\"10.1007/s11600-023-01137-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>To accurately capture the time-frequency spectral anomaly, a novel time-frequency analysis (TFA) method, termed as time-reassigned multisynchrosqueezing S-transform (TMSSST), is proposed. In this study, we derive a N-order group delay (GD) estimator designed for frequency-domain S-transform to cope with the signal with fast varying instantaneous frequency (IF). By introducing an iterative reassignment procedure, the proposed TMSSST not only can produce a highly energy-concentrated time-frequency representation (TFR) but also can reconstruct the original signal with a high accuracy. Three synthetic signals are employed to validate the effectiveness of the proposed method by comparing with some classical TFA techniques such as S-transform (ST), synchrosqueezing S-transform (SSST) and time-reassigned synchrosqueezing S-transform (TSSST). It is shown that the TMSSST does a better job in addressing strongly frequency-varying signal. Application on field data further indicates the potential of highlighting subsurface geological structures and thus, facilitating seismic interpretation.</p></div>\",\"PeriodicalId\":6988,\"journal\":{\"name\":\"Acta Geophysica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Geophysica\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11600-023-01137-x\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Geophysica","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1007/s11600-023-01137-x","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
为了准确捕捉时频频谱异常,我们提出了一种新颖的时频分析(TFA)方法,即时间重分配多同步阙值 S 变换(TMSSST)。在这项研究中,我们推导出一种 N 阶群延迟(GD)估计器,该估计器专为频域 S 变换而设计,以应对瞬时频率(IF)快速变化的信号。通过引入迭代重分配程序,所提出的 TMSSST 不仅能产生能量高度集中的时频表示(TFR),还能高精度地重建原始信号。通过与 S 变换(ST)、同步挤压 S 变换(SSST)和时间重分配同步挤压 S 变换(TSSST)等一些经典的 TFA 技术进行比较,利用三个合成信号验证了所提方法的有效性。结果表明,TMSSST 能更好地处理强频率变化信号。对野外数据的应用进一步表明,该方法具有突出地下地质结构的潜力,从而有助于地震解释。
Time-reassigned multisynchrosqueezing of the S-transform for seismic time-frequency analysis
To accurately capture the time-frequency spectral anomaly, a novel time-frequency analysis (TFA) method, termed as time-reassigned multisynchrosqueezing S-transform (TMSSST), is proposed. In this study, we derive a N-order group delay (GD) estimator designed for frequency-domain S-transform to cope with the signal with fast varying instantaneous frequency (IF). By introducing an iterative reassignment procedure, the proposed TMSSST not only can produce a highly energy-concentrated time-frequency representation (TFR) but also can reconstruct the original signal with a high accuracy. Three synthetic signals are employed to validate the effectiveness of the proposed method by comparing with some classical TFA techniques such as S-transform (ST), synchrosqueezing S-transform (SSST) and time-reassigned synchrosqueezing S-transform (TSSST). It is shown that the TMSSST does a better job in addressing strongly frequency-varying signal. Application on field data further indicates the potential of highlighting subsurface geological structures and thus, facilitating seismic interpretation.
期刊介绍:
Acta Geophysica is open to all kinds of manuscripts including research and review articles, short communications, comments to published papers, letters to the Editor as well as book reviews. Some of the issues are fully devoted to particular topics; we do encourage proposals for such topical issues. We accept submissions from scientists world-wide, offering high scientific and editorial standard and comprehensive treatment of the discussed topics.