Recent developments in local wave decomposition methods for understanding seismic data: Application to seismic interpretation

Y Xue, J Cao, X Wang, Y Li, J Du - Surveys in Geophysics, 2019 - Springer
This article provides a general overview of local wave decomposition (LWD) methods
including empirical mode decomposition (EMD), ensemble EMD, complete ensemble EMD …

Application of the local maximum synchrosqueezing transform for seismic data

A Mahdavi, AR Kahoo, M Radad, MS Monfared - Digital signal processing, 2021 - Elsevier
Seismic signal analysis is the main step in data processing through the petroleum
exploration via costly seismic investigations. Precision of target delineation by seismic data …

Application of second order multi-synchrosqueezing transform for seismic data analysis

SY Chen, YJ Xue, L Huang - Digital Signal Processing, 2024 - Elsevier
Time-frequency methods, which allow us to observe the seismic signal in time and
frequency domains simultaneously, can efficiently discern the seismic response features of …

Automatic noise attenuation based on clustering and empirical wavelet transform

W Chen, H Song - Journal of Applied Geophysics, 2018 - Elsevier
Strong noise in seismic data seriously affects many steps in seismic data processing and
imaging. While most traditional methods depend on carefully tuned input parameters by …

Exploring time-varying characteristics in drive-by bridge frequency extraction with the second-order synchrosqueezing transform

C Tan, H Zhao, EJ OBrien, N Uddin… - Journal of Bridge …, 2023 - ascelibrary.org
Recently, due to low cost and convenience, the concept of estimating the bridge's first
natural frequency through indirect measurements of a passing vehicle has gained …

Seismic Signal Denoising Using Variational Mode Decomposition

W Liu, Z Duan - IEEE Geoscience and Remote Sensing Letters, 2019 - ieeexplore.ieee.org
Ground roll is a common coherent noise in land seismic acquisition, which is usually
characterized by high amplitudes, low frequencies, and low propagation velocities …

Seismic time-frequency analysis via time-varying filtering based empirical mode decomposition method

S Chen, S Cao, Y Sun, Y Lin, J Gao - Journal of Applied Geophysics, 2022 - Elsevier
We proposed a seismic time-frequency analysis method using time-varying filtering based
empirical mode decomposition (TVF-EMD). TVF-EMD is a recently-developed signal …

DeepCEDNet: an efficient deep convolutional encoder-decoder networks for ECG signal enhancement

P Bing, W Liu, Z Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) signal can be thought of as an effective indicator for detection of
various arrhythmias. However, the acquired ECG data is always corrupted by amounts of …

Signal denoising based on wavelet threshold denoising and optimized variational mode decomposition

H Hu, Y Ao, H Yan, Y Bai, N Shi - Journal of Sensors, 2021 - Wiley Online Library
To eliminate the noise from the signals received by MEMS vector hydrophone, a joint
algorithm is proposed in this paper based on wavelet threshold (WT) denoising, variational …

Detecting shallow gas reservoir in the f3 block, The Netherlands, using offshore seismic data and high-resolution multi-synchrosqueezing transform

M Shirazi, A Roshandel Kahoo, M Radad… - Natural Resources …, 2023 - Springer
The presence of natural gas reserves is correlated frequently with the observation of a
shadow with low frequency. The phenomenon known as" low-frequency shadow" describes …