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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JSE</journal-id><journal-title-group><journal-title>Journal of Seismic Exploration</journal-title></journal-title-group><issn>0963-0651</issn><eissn/><publisher><publisher-name>AccScience Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi"/><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>An efficient attenuation compensation method using the synchrosqueezing transform</title><url>https://geophysical-press.com/journal/JSE/articles/169</url><author>YANGYANG,GAOJINGHUA,ZHANGGUOWEI,WANGQIAN</author><pub-date pub-type="publication-year"><year>2018</year></pub-date><volume>27</volume><issue>6</issue><history><date date-type="pub"><published-time>2018-12-01</published-time></date></history><abstract>Yang, Y., Gao, J.H., Zhang, G.W. and Wang, Q., 2018. An efficient attenuation compensation method using the synchrosqueezing transform. Journal of Seismic Exploration, 27: 577-591. Attenuation of seismic waves, which decreases the amplitude and distorts the phase, also usually results in low resolution of seismic data. In this study, inverse Q filtering is introduced to compensate the attenuation of seismic waves using the synchrosqueezing transform (SST), which condenses the spectrum energy along the frequency axis and provides highly localized time-frequency representations. To perform a stable inverse Q filtering, a denoising filtering and reliable O values are needed. At first, a spare SST-domain filtering is utilized to remove the random noise based on a low-rank and spare decomposition-based method. Then, a reliable Q-factor estimation method using the peak frequency shift method in SST domain is applied in the implementation of inverse Q filtering scheme. At last, we reformulate amplitude correction as an inverse problem with a /;-norm regularization term in the SST domain to prevent the noise bursting because of the inherently unstable process of amplitude correction. Therefore, we propose a complete three-stage work flow to denoise, estimate Q factor and compensate attenuation using the SST. Tests with synthetic examples and real data demonstrate the robustness and effectiveness of this proposed method.</abstract><keywords>synchrosqueezing transform (SST), denoise, Q estimation, inverse Q filtering</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Aki, K. and Richards, P.G., 2002. Quantitative Seismology, 2nd Ed.. W. H. Freeman, SanFrancisco.van der Baan, M., 2012. Bandwidth enhancement: Inverse Q filtering or time-varyingWiener deconvolution? Geophysics, 77(4). 133Boashash, B. and Mesbah, M., 2004. 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