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dc.contributor.authorJiang, Qingtang
dc.contributor.authorPrater-Bennette, Ashley
dc.contributor.authorSuter, Bruce W
dc.contributor.authorZeyani, Abdelbaset
dc.date.accessioned2022-05-04T19:41:21Z
dc.date.available2022-05-04T19:41:21Z
dc.date.issued2022-03-17
dc.identifier.citationJiang Q, Prater-Bennette A, Suter BW and Zeyani A (2022) Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation. Front. Appl. Math. Stat. 8:830530. doi: 10.3389/fams.2022.830530en_US
dc.identifier.issn2297-4687
dc.identifier.urihttps://doi.org/10.3389/fams.2022.830530
dc.identifier.urihttps://soar.wichita.edu/handle/10057/23274
dc.descriptionThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.description.abstractThe synchrosqueezing transform (SST) and its variants have been developed recently as an alternative to the empirical mode decomposition scheme to model a non-stationary signal as a superposition of amplitude- and frequency-modulated Fourier-like oscillatory modes. In particular, SST performs very well in estimating instantaneous frequencies (IFs) and separating the components of non-stationary multicomponent signals with slowly changing frequencies. However its performance is not desirable for signals having fast-changing frequencies. Two approaches have been proposed for this issue. One is to use the 2nd-order or high-order SST, and the other is to apply the instantaneous frequency-embedded SST (IFE-SST). For the SST or high order SST approach, one single phase transformation is applied to estimate the IFs of all components of a signal, which may yield not very accurate results in IF estimation and component recovery. IFE-SST uses an estimation of the IF of a targeted component to produce accurate IF estimation. The phase transformation of IFE-SST is associated with the targeted component. Hence the IFE-SST has certain advantages over SST in IF estimation and signal separation. In this article, we provide theoretical study on the instantaneous frequency-embedded short-time Fourier transform (IFE-STFT) and the associated SST, called IFE-FSST. We establish reconstructing properties of IFE-STFT with integrals involving the frequency variable only and provide reconstruction formula for individual components. We also consider the 2nd-order IFE-FSST.en_US
dc.description.sponsorshipThis work was supported in part by Simons Foundation (Grant No. 353185) and the 2020 Air Force Summer Faculty Fellowship Program (SFFP).en_US
dc.language.isoen_USen_US
dc.publisherFrontiers Media S.A.en_US
dc.relation.ispartofseriesFrontiers in Applied Mathematics and Statistics;2022
dc.subjectShort-time Fourier transformen_US
dc.subjectSynchrosqueezing transformen_US
dc.subjectInstantaneous frequency-embedded STFTen_US
dc.subjectInstantaneous frequency estimationen_US
dc.titleInstantaneous frequency-embedded synchrosqueezing transform for signal separationen_US
dc.typeArticleen_US
dc.rights.holder© 2022 Jiang, Prater-Bennette, Suter and Zeyani.en_US


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