{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:02:20Z","timestamp":1740135740558,"version":"3.37.3"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T00:00:00Z","timestamp":1677024000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T00:00:00Z","timestamp":1677024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62101130"],"award-info":[{"award-number":["62101130"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"crossref","award":["2020A1515110289"],"award-info":[{"award-number":["2020A1515110289"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Dongguan Sci-tech Commissioner Program","award":["20201800500182"],"award-info":[{"award-number":["20201800500182"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1007\/s00034-023-02309-2","type":"journal-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T15:04:10Z","timestamp":1677078250000},"page":"4170-4196","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Joint Empirical Mode Decomposition and Optimal Frequency Band Estimation for Adaptive Low-Frequency Noise Suppression"],"prefix":"10.1007","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4246-9280","authenticated-orcid":false,"given":"Weichao","family":"Kuang","sequence":"first","affiliation":[]},{"given":"Ping","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yingxin","family":"Lai","sequence":"additional","affiliation":[]},{"given":"Shanjin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Wing-Kuen","family":"Ling","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,22]]},"reference":[{"issue":"1","key":"2309_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1142\/S1793536910000367","volume":"2","author":"AY Ayenu-Prah","year":"2010","unstructured":"A.Y. Ayenu-Prah, N.O. Attoh-Okine, A criterion for selecting relevant intrinsic mode functions in empirical mode decomposition. Adv. Adapt. Data Anal. 2(1), 1\u201324 (2010)","journal-title":"Adv. Adapt. Data Anal."},{"key":"2309_CR2","doi-asserted-by":"publisher","first-page":"102466","DOI":"10.1016\/j.bspc.2021.102466","volume":"67","author":"S Boda","year":"2021","unstructured":"S. Boda, M. Mahadevappa, P.K. Dutta, A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT. Biomed. Signal Process. Control 67, 102466 (2021)","journal-title":"Biomed. Signal Process. Control"},{"issue":"6","key":"2309_CR3","doi-asserted-by":"publisher","first-page":"2196","DOI":"10.1109\/TIM.2007.907967","volume":"56","author":"A Boudraa","year":"2007","unstructured":"A. Boudraa, J. Cexus, EMD-based signal filtering. IEEE Trans. Instrum. Meas. 56(6), 2196\u20132202 (2007)","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"4","key":"2309_CR4","doi-asserted-by":"publisher","first-page":"1158","DOI":"10.1109\/TASL.2011.2172428","volume":"20","author":"N Chatlani","year":"2012","unstructured":"N. Chatlani, J.J. Soraghan, EMD-based filtering (EMDF) of low-frequency noise for speech enhancement. IEEE Trans. Audio Speech Lang. Process. 20(4), 1158\u20131166 (2012)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"2309_CR5","doi-asserted-by":"publisher","first-page":"2967","DOI":"10.1007\/s00034-020-01607-3","volume":"40","author":"P Feng","year":"2021","unstructured":"P. Feng, B.W.K. Ling, Singular spectrum analysis-based hierarchical multiresolution analysis with exploitation of frequency selectivities of desirable grouped functions. Circuits Syst. Signal Process. 40, 2967\u20132981 (2021)","journal-title":"Circuits Syst. Signal Process."},{"issue":"2","key":"2309_CR6","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1109\/LSP.2003.821662","volume":"11","author":"P Flandrin","year":"2004","unstructured":"P. Flandrin, G. Rilling, P. Gon\u00e7alv\u00e9s, Empirical mode decomposition as a filter bank. IEEE Signal Process Lett. 11(2), 112\u2013114 (2004)","journal-title":"IEEE Signal Process Lett."},{"key":"2309_CR7","unstructured":"J. Garofolo, L. Lamel, W. Fisher, J. Fiscus, D. Pallett, N. Dahlgren, V. Zue, TIMIT acoustic-phonetic continuous speech corpus, in Linguist. Data Consortium, Philadelphia, PA, USA"},{"key":"2309_CR8","unstructured":"https:\/\/archive.physionet.org\/cgi-bin\/atm\/ATM"},{"key":"2309_CR9","unstructured":"http:\/\/spib.linse.ufsc.br\/noise.html"},{"key":"2309_CR10","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1098\/rspa.1998.0193","volume":"454","author":"N Huang","year":"1998","unstructured":"N. Huang, Z. Shen, S. Long, M. Wu, H. Shih, Q. Zheng, N. Yen, C. Tung, H. Liu, The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis. Proc. R. Soc. Lond. A: Math. Phys. Eng. Sci. 454, 903\u2013995 (1998)","journal-title":"Proc. R. Soc. Lond. A: Math. Phys. Eng. Sci."},{"issue":"5","key":"2309_CR11","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1016\/j.bspc.2011.11.003","volume":"7","author":"M Kabir","year":"2012","unstructured":"M. Kabir, C. Shahnaz, Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains. Biomed. Signal Process. Control 7(5), 481\u2013489 (2012)","journal-title":"Biomed. Signal Process. Control"},{"issue":"5","key":"2309_CR12","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1080\/03772063.2015.1136576","volume":"62","author":"A Kizilkaya","year":"2016","unstructured":"A. Kizilkaya, M.D. Elbi, Different scenarios on denoising of signals in the intrinsic mode function selection framework. IETE J. Res. 62(5), 605\u2013614 (2016)","journal-title":"IETE J. Res."},{"issue":"1","key":"2309_CR13","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1049\/el.2014.3279","volume":"51","author":"T Koc","year":"2015","unstructured":"T. Koc, Post-processing method for removing low-frequency bias in glottal inverse filtering. Electron. Lett. 51(1), 110\u2013112 (2015)","journal-title":"Electron. Lett."},{"issue":"1","key":"2309_CR14","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1109\/TIM.2013.2275243","volume":"63","author":"A Komaty","year":"2014","unstructured":"A. Komaty, A. Boudraa, B. Augier, D. Dar\u00e9-Emzivat, EMD-based filtering using similarity measure between probability density functions of IMFs. IEEE Trans. Instrum. Meas. 63(1), 27\u201334 (2014)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"2309_CR15","first-page":"48","volume":"32","author":"W Kuang","year":"2014","unstructured":"W. Kuang, B.W.-K. Ling, Z. Yang, Parameter free and reliable signal denoising based on constants obtained from IMFs of white Gaussian noise. Measurement 32, 48\u201356 (2014)","journal-title":"Measurement"},{"key":"2309_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2020.3010426","volume":"70","author":"W Kuang","year":"2021","unstructured":"W. Kuang, S. Wang, Y. Lai, W.-K. Ling, Efficient and adaptive signal denoising based on multistage singular spectrum analysis. IEEE Trans. Instrum. Meas. 70, 1\u201320 (2021)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"2309_CR17","doi-asserted-by":"crossref","unstructured":"G. Li, S. M. Wali Ullah, B. Li, J. Lin, H. Wang, Baseline wander removal for ECG signals based on improved EMD, in 15th IEEE International Conference on Signal Processing, pp. 484\u2013487 (2020)","DOI":"10.1109\/ICSP48669.2020.9320927"},{"key":"2309_CR18","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1007\/s00034-018-0861-1","volume":"38","author":"P Lin","year":"2019","unstructured":"P. Lin, W. Kuang, Y. Liu, Grouping and selecting singular spectrum analysis components for denoising via empirical mode decomposition approach. Circuits Syst. Signal Process. 38, 356\u2013370 (2019)","journal-title":"Circuits Syst. Signal Process."},{"key":"2309_CR19","doi-asserted-by":"crossref","unstructured":"A. Malhotra, A. Chintanpalli, A real time wavelet filtering for ECG baseline wandering removal, in International Conference on Artificial Intelligence and Signal Processing, AISP, pp. 1\u20135 (2020)","DOI":"10.1109\/AISP48273.2020.9073007"},{"key":"2309_CR20","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.dsp.2014.06.006","volume":"32","author":"A Mert","year":"2014","unstructured":"A. Mert, A. Akan, Detrended fluctuation analysis for empirical mode decomposition based denoising. Digital Signal Process. 32, 48\u201356 (2014)","journal-title":"Digital Signal Process."},{"key":"2309_CR21","doi-asserted-by":"crossref","unstructured":"Z. Sun, X. Wang, X. Wang, K. Sun, Q. Tan, Removal of baseline wander in ECG signals using singular spectrum analysis, in IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC), pp. 391\u2013394 (2019)","DOI":"10.1109\/ICEIEC.2019.8784679"},{"key":"2309_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.specom.2015.02.007","volume":"21","author":"PD Swamia","year":"2015","unstructured":"P.D. Swamia, R. Sharmab, A. Jaina, D.K. Swamic, Speech enhancement by noise driven adaptation of perceptual scales and thresholds of continuous wavelet transform coefficients. Speech Commun. 21, 1\u201312 (2015)","journal-title":"Speech Commun."},{"key":"2309_CR23","unstructured":"R. F. von Borries, J. H. Pierluissi, H. Nazeran, Wavelet transform-based ECG baseline drift removal for body surface potential mapping, in 27th IEEE Engineering in Medicine and Biology Annual Conference, pp. 3891\u20133894 (2015)"},{"key":"2309_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.110386","volume":"188","author":"X Wang","year":"2022","unstructured":"X. Wang, S. Zhang, L. Zhu, S. Chen, H. Zhao, Research on anti-Narrowband AM jamming of Ultra-wideband impulse radio detection radar based on improved singular spectrum analysis. Measurement 188, 110386 (2022)","journal-title":"Measurement"},{"key":"2309_CR25","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.sigpro.2014.10.038","volume":"109","author":"G Yang","year":"2015","unstructured":"G. Yang, Y. Liu, Y. Wang, Z. Zhu, EMD interval thresholding denoising based on similarity measure to select relevant modes. Signal Process. 109, 95\u2013109 (2015)","journal-title":"Signal Process."},{"key":"2309_CR26","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/j.isatra.2020.10.022","volume":"109","author":"Z Yao","year":"2021","unstructured":"Z. Yao, Z. Wang, X. Liu, C. Wang, Z. Shang, An improved low-frequency noise reduction method in shock wave pressure measurement based on mode classification and recursion extraction. ISA Trans. 109, 315\u2013326 (2021)","journal-title":"ISA Trans."},{"issue":"5","key":"2309_CR27","doi-asserted-by":"publisher","first-page":"899","DOI":"10.1109\/TASLP.2014.2312541","volume":"22","author":"L Z\u00e3o","year":"2014","unstructured":"L. Z\u00e3o, R. Coelho, P. Flandrin, Speech enhancement with EMD and hurst-based mode selection. IEEE\/ACM Trans. Audio Speech Lang. Process. 22(5), 899\u2013911 (2014)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-023-02309-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-023-02309-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-023-02309-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,21]],"date-time":"2023-06-21T05:07:44Z","timestamp":1687324064000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-023-02309-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,22]]},"references-count":27,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["2309"],"URL":"https:\/\/doi.org\/10.1007\/s00034-023-02309-2","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"type":"print","value":"0278-081X"},{"type":"electronic","value":"1531-5878"}],"subject":[],"published":{"date-parts":[[2023,2,22]]},"assertion":[{"value":"2 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 January 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}