Predominant frequency detection of seismic signal based on Gabor–Wigner transform for earthquake early warning systems
Sign Up to like & getrecommendations! Published in 2018 at "Asian Journal of Civil Engineering"
DOI: 10.1007/s42107-018-0073-9
Abstract: A few methods of time–frequency distributions (TFD) have been employed to analyze and detect the occurrence of the predominant frequencies in the seismic signal. Comprehensive joint time–frequency analysis of seismic signal using the well-known short-time… read more here.
Keywords: frequency; time; seismic signal; wigner ... See more keywords
Seismic signal time-frequency analysis based on multi-directional window using greedy strategy
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2017.05.017
Abstract: Abstract Wigner-Ville distribution (WVD) is an important time-frequency analysis technology with a high energy distribution in seismic signal processing. However, it is interfered by many cross terms. To suppress the cross terms of the WVD… read more here.
Keywords: window; greedy strategy; directional window; multi directional ... See more keywords
An adaptive seismic signal denoising method based on variational mode decomposition
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109277
Abstract: Abstract In this paper, we study the denoising method for unattended ground sensor (UGS) systems that are composed of seismic sensors. Seismic sensors are used for collecting the seismic signals generated by targets. The collected… read more here.
Keywords: denoising method; method based; based variational; seismic signal ... See more keywords
A Joint Framework for Seismic Signal Denoising Using Total Generalized Variation and Shearlet Transform
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3049644
Abstract: Seismic exploration is a remote-sensing tool applied in a great many projects for engineering and resource-exploration purposes. Random noise suppression is one of the key steps in seismic-signal processing, especially those with important details and… read more here.
Keywords: shearlet; shearlet transform; seismic signal; signal denoising ... See more keywords
The Second-Order Synchrosqueezing Continuous Wavelet Transform and Its Application in the High-Speed-Train Induced Seismic Signal
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2993596
Abstract: Thousands of high-speed trains (HSTs) run on over 30000-km high-speed railway every day in China. These running trains not only cause vibrations but also stimulate all kinds of seismic waves. The receiver seismic signal’s spectrum… read more here.
Keywords: continuous wavelet; transform; seismic signal; wavelet transform ... See more keywords
Weak Seismic Signal Enhancement Using Curvelet Transform and Compressive Sampling
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3253930
Abstract: Conventional curvelet-domain denoising methods suppress random noise by thresholding the amplitude of curvelet coefficients, which makes it hard to distinguish weak seismic signals from random noise because they share the same characteristic of weak amplitude… read more here.
Keywords: random noise; seismic signal; curvelet; weak seismic ... See more keywords
Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Sign Up to like & getrecommendations! Published in 2017 at "Algorithms"
DOI: 10.3390/a10020065
Abstract: We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online. Clustering is introduced for dictionary… read more here.
Keywords: signal compression; nonparametric bayesian; dictionary learning; seismic signal ... See more keywords