.png){kind=icon}
返回
Inversion-Driven Attenuation Compensation Using Synchrosqueezing Transform
.png){kind=icon}
PRE
AI
DOI：10.1109/LGRS.2017.2777598.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Attenuation is a fundamental mechanism as seismic wave propagates through the earth. The loss of high-frequency energy and concomitant phase distortion can be compensated by inverse Q filtering to enhance the resolution of seismic data. Since the attenuation process depends on time and frequency, it is routinely performed in the time-frequency domain. The synchrosqueezing transform (SST), which provides highly localized time-frequency representations for the nonstationary signals due to reduced spectral smearing, is applied to implement the inverse Q filtering scheme. However, the amplitude compensation process is unstable because energy amplification is involved. To stabilize it, the amplitude compensation is regarded as an inverse problem with an L1-norm regularization term in the SST domain. The iteratively reweighted least-squares algorithm is used to solve the regularized inverse problem. Synthetic and real data examples illustrate the stability and effectiveness of the proposed method.
Keyword:
Attenuation compensation
inversion
L1-norm regularization
synchrosqueezing transform (SST)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
16.4
论文数:
1.0W
被引数:
5.1K
机构
引用论文
Bandwidth enhancement: Inverse Q filtering or time-varying Wiener deconvolution?.png)
GEOPHYSICS
GEOPHYSICSIF3.2
PREAI
分享收藏Time-Frequency Analysis of Seismic Data Using Synchrosqueezing Transform基于同步queezing变换的地震数据时频分析
PREAI
分享收藏分享收藏The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applicationsSIGNAL PROCESSING
OAAI
SIGNAL PROCESSINGIF3.6
OAAI分享收藏
查看更多内容