{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T09:38:09Z","timestamp":1760953089622,"version":"build-2065373602"},"reference-count":39,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Digital Signal Processing"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1016\/j.dsp.2023.104252","type":"journal-article","created":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T12:12:17Z","timestamp":1697631137000},"page":"104252","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Multiple synchro-tuning chirplet transform"],"prefix":"10.1016","volume":"144","author":[{"given":"Lingji","family":"Xu","sequence":"first","affiliation":[]},{"given":"Lixing","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zixin","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4312-6108","authenticated-orcid":false,"given":"Weihua","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Zhenglin","family":"Li","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.dsp.2023.104252_br0010","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.ymssp.2018.07.039","article-title":"Parameterised time-frequency analysis methods and their engineering applications: a review of recent advances","volume":"119","author":"Yang","year":"2019","journal-title":"Mech. Syst. Signal Process."},{"issue":"12","key":"10.1016\/j.dsp.2023.104252_br0020","doi-asserted-by":"crossref","first-page":"8626","DOI":"10.1109\/TGRS.2020.2989403","article-title":"Time-synchroextracting general chirplet transform for seismic time\u2013frequency analysis","volume":"58","author":"Li","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.dsp.2023.104252_br0030","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.dsp.2017.09.003","article-title":"Detection of weak astronomical signals with frequency-hopping interference suppression","volume":"72","author":"Liu","year":"2018","journal-title":"Digit. Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.apacoust.2020.107460","article-title":"Synchrosqueezing transform for geoacoustic inversion with air-gun source in the East China Sea","volume":"169","author":"Liu","year":"2020","journal-title":"Appl. Acoust."},{"key":"10.1016\/j.dsp.2023.104252_br0050","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1038\/s41467-020-20539-9","article-title":"Time-frequency super-resolution with superlets","volume":"12","author":"Moca","year":"2021","journal-title":"Nat. Commun."},{"key":"10.1016\/j.dsp.2023.104252_br0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2021.108145","article-title":"Enhancement of time-frequency post-processing readability for nonstationary signal analysis of rotating machinery: principle and validation","volume":"163","author":"Zhang","year":"2022","journal-title":"Mech. Syst. Signal Process."},{"issue":"4","key":"10.1016\/j.dsp.2023.104252_br0070","doi-asserted-by":"crossref","first-page":"998","DOI":"10.1109\/78.492555","article-title":"Localization of the complex spectrum: the s transform","volume":"44","author":"Stockwell","year":"1996","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"10.1016\/j.dsp.2023.104252_br0080","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/0165-1684(94)00150-X","article-title":"Smoothed pseudo-Wigner distribution, Choi-Williams distribution, and cone-kernel representation: ambiguity-domain analysis and experimental comparison","volume":"43","author":"Hlawatsch","year":"1995","journal-title":"Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0090","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/S0967-0661(97)90028-9","article-title":"Time-frequency analysis: by Leon Cohen","volume":"5","author":"Theodor","year":"1997","journal-title":"Control Eng. Pract."},{"issue":"5","key":"10.1016\/j.dsp.2023.104252_br0100","doi-asserted-by":"crossref","first-page":"1068","DOI":"10.1109\/78.382394","article-title":"Improving the readability of time-frequency and time-scale representations by the reassignment method","volume":"43","author":"Auger","year":"1995","journal-title":"IEEE Trans. Signal Process."},{"issue":"6","key":"10.1016\/j.dsp.2023.104252_br0110","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/MSP.2013.2265316","article-title":"Time-frequency reassignment and synchrosqueezing: an overview","volume":"30","author":"Auger","year":"2013","journal-title":"IEEE Signal Process. Mag."},{"issue":"2","key":"10.1016\/j.dsp.2023.104252_br0120","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.acha.2010.08.002","article-title":"Synchrosqueezed wavelet transforms: an empirical mode decomposition-like tool","volume":"30","author":"Daubechies","year":"2011","journal-title":"Appl. Comput. Harmon. Anal."},{"issue":"11","key":"10.1016\/j.dsp.2023.104252_br0130","doi-asserted-by":"crossref","first-page":"2751","DOI":"10.1109\/TSP.2014.2314061","article-title":"General parameterized time-frequency transform","volume":"62","author":"Yang","year":"2014","journal-title":"IEEE Trans. Signal Process."},{"issue":"9","key":"10.1016\/j.dsp.2023.104252_br0140","doi-asserted-by":"crossref","first-page":"2264","DOI":"10.1016\/j.sigpro.2012.02.019","article-title":"A generalized synchrosqueezing transform for enhancing signal time\u2013frequency representation","volume":"92","author":"Li","year":"2012","journal-title":"Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0150","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.ymssp.2015.03.014","article-title":"Time\u2013frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions","volume":"62\u201363","author":"Feng","year":"2015","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0160","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.jsv.2016.01.015","article-title":"Generalized stepwise demodulation transform and synchrosqueezing for time\u2013frequency analysis and bearing fault diagnosis","volume":"368","author":"Shi","year":"2016","journal-title":"J. Sound Vib."},{"issue":"5","key":"10.1016\/j.dsp.2023.104252_br0170","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1109\/TSP.2015.2391077","article-title":"Second-order synchrosqueezing transform or invertible reassignment? Towards ideal time-frequency representations","volume":"63","author":"Oberlin","year":"2015","journal-title":"IEEE Trans. Signal Process."},{"issue":"12","key":"10.1016\/j.dsp.2023.104252_br0180","doi-asserted-by":"crossref","first-page":"3168","DOI":"10.1109\/TSP.2017.2686355","article-title":"High-order synchrosqueezing transform for multicomponent signals analysis\u2014with an application to gravitational-wave signal","volume":"65","author":"Pham","year":"2017","journal-title":"IEEE Trans. Signal Process."},{"issue":"4","key":"10.1016\/j.dsp.2023.104252_br0190","first-page":"3071","article-title":"Demodulated high-order synchrosqueezing transform with application to machine fault diagnosis","volume":"66","author":"Tu","year":"2019","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"10","key":"10.1016\/j.dsp.2023.104252_br0200","first-page":"8042","article-title":"Synchroextracting transform","volume":"64","author":"Yu","year":"2017","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.dsp.2023.104252_br0210","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.dsp.2019.07.015","article-title":"Synchroextracting chirplet transform for accurate if estimate and perfect signal reconstruction","volume":"93","author":"Zhu","year":"2019","journal-title":"Digit. Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0220","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1016\/j.ymssp.2018.08.006","article-title":"Local maximum synchrosqueezing transform: an energy-concentrated time-frequency analysis tool","volume":"117","author":"Yu","year":"2019","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0230","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1049\/sil2.12073","article-title":"Time-frequency synchroextracting transform","volume":"16","author":"Zhang","year":"2022","journal-title":"IET Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0240","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2022.108598","article-title":"Two dimensional local maximum synchroextracting chirplet transform and application of characterizing micro-Doppler signals","volume":"198","author":"Zhang","year":"2022","journal-title":"Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0250","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2020.108523","article-title":"General synchroextracting chirplet transform: application to the rotor rub-impact fault diagnosis","volume":"169","author":"Meng","year":"2021","journal-title":"Measurement"},{"issue":"7","key":"10.1016\/j.dsp.2023.104252_br0260","first-page":"5441","article-title":"Multisynchrosqueezing transform","volume":"66","author":"Yu","year":"2019","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"2","key":"10.1016\/j.dsp.2023.104252_br0270","first-page":"1486","article-title":"Time-reassigned multisynchrosqueezing transform for bearing fault diagnosis of rotating machinery","volume":"68","author":"Yu","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.dsp.2023.104252_br0280","doi-asserted-by":"crossref","DOI":"10.1016\/j.jsv.2020.115813","article-title":"A multisynchrosqueezing-based high-resolution time-frequency analysis tool for the analysis of non-stationary signals","volume":"492","author":"Yu","year":"2021","journal-title":"J. Sound Vib."},{"key":"10.1016\/j.dsp.2023.104252_br0290","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.sigpro.2019.05.008","article-title":"Multiple squeezes from adaptive chirplet transform","volume":"163","author":"Zhu","year":"2019","journal-title":"Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0300","doi-asserted-by":"crossref","first-page":"958","DOI":"10.1016\/j.ymssp.2015.09.004","article-title":"General linear chirplet transform","volume":"70\u201371","author":"Yu","year":"2016","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0310","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2022.110006","article-title":"Multiple squeezing based on velocity synchronous chirplet transform with application for bearing fault diagnosis","volume":"188","author":"Zhang","year":"2023","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0320","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2022.108824","article-title":"Parameter analysis of chirplet transform and high-resolution time-frequency representation via chirplets combination","volume":"205","author":"Zhu","year":"2023","journal-title":"Signal Process."},{"issue":"11","key":"10.1016\/j.dsp.2023.104252_br0330","doi-asserted-by":"crossref","first-page":"2745","DOI":"10.1109\/78.482123","article-title":"The chirplet transform: physical considerations","volume":"43","author":"Mann","year":"1995","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.dsp.2023.104252_br0340","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","article-title":"The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis","volume":"454","author":"Huang","year":"1998","journal-title":"Proc. R. Soc. Lond. Ser. A, Math. Phys. Eng. Sci."},{"key":"10.1016\/j.dsp.2023.104252_br0350","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/j.ymssp.2015.06.029","article-title":"The instantaneous frequency rate spectrogram","volume":"66\u201367","author":"Czarnecki","year":"2016","journal-title":"Mech. Syst. Signal Process."},{"issue":"11","key":"10.1016\/j.dsp.2023.104252_br0360","doi-asserted-by":"crossref","first-page":"1724","DOI":"10.1109\/LSP.2017.2714578","article-title":"Chirp rate and instantaneous frequency estimation: application to recursive vertical synchrosqueezing","volume":"24","author":"Fourer","year":"2017","journal-title":"IEEE Signal Process. Lett."},{"issue":"11","key":"10.1016\/j.dsp.2023.104252_br0370","doi-asserted-by":"crossref","first-page":"1724","DOI":"10.1109\/LSP.2017.2714578","article-title":"Chirp rate and instantaneous frequency estimation: application to recursive vertical synchrosqueezing","volume":"24","author":"Fourer","year":"2017","journal-title":"IEEE Signal Process. Lett."},{"issue":"2","key":"10.1016\/j.dsp.2023.104252_br0380","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1109\/78.740131","article-title":"Multiridge detection and time-frequency reconstruction","volume":"47","author":"Carmona","year":"1999","journal-title":"IEEE Trans. Signal Process."},{"issue":"1","key":"10.1016\/j.dsp.2023.104252_br0390","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1109\/LSP.2004.839696","article-title":"Minimum entropy time-frequency distributions","volume":"12","author":"Aviyente","year":"2005","journal-title":"IEEE Signal Process. Lett."}],"container-title":["Digital Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1051200423003470?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1051200423003470?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T06:30:04Z","timestamp":1760941804000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1051200423003470"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":39,"alternative-id":["S1051200423003470"],"URL":"https:\/\/doi.org\/10.1016\/j.dsp.2023.104252","relation":{},"ISSN":["1051-2004"],"issn-type":[{"type":"print","value":"1051-2004"}],"subject":[],"published":{"date-parts":[[2024,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multiple synchro-tuning chirplet transform","name":"articletitle","label":"Article Title"},{"value":"Digital Signal Processing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.dsp.2023.104252","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"104252"}}