{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T18:05:46Z","timestamp":1775498746159,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:00:00Z","timestamp":1720051200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:00:00Z","timestamp":1720051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"National Defense Science and Technology Innovation Zone Fund of China","award":["17H86304ZT00302"],"award-info":[{"award-number":["17H86304ZT00302"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502522"],"award-info":[{"award-number":["61502522"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1007\/s00034-024-02757-4","type":"journal-article","created":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T16:01:58Z","timestamp":1720108918000},"page":"6571-6591","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Joint Underdetermined Blind Separation Using Cross Third-Order Cumulant and Tensor Decomposition"],"prefix":"10.1007","volume":"43","author":[{"given":"Weilin","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaobai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongbin","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruijuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,4]]},"reference":[{"issue":"7","key":"2757_CR1","doi-asserted-by":"publisher","first-page":"1389","DOI":"10.1016\/j.sigpro.2005.02.010","volume":"85","author":"F Abrard","year":"2005","unstructured":"F. Abrard, Y. Deville, A time\u2013frequency blind signal separation method applicable to underdetermined mixtures of dependent sources. Signal Process. 85(7), 1389\u20131403 (2005). https:\/\/doi.org\/10.1016\/j.sigpro.2005.02.010","journal-title":"Signal Process."},{"issue":"3","key":"2757_CR2","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1109\/TSP.2006.888877","volume":"55","author":"A Aissa-El-Bey","year":"2007","unstructured":"A. Aissa-El-Bey et al., Underdetermined blind separation of nondisjoint sources in the time-frequency domain. IEEE Trans. Signal Process. 55(3), 897\u2013907 (2007). https:\/\/doi.org\/10.1109\/TSP.2006.888877","journal-title":"IEEE Trans. Signal Process."},{"key":"2757_CR3","doi-asserted-by":"publisher","unstructured":"M. Bousse, L. De Lathauwer, Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights, in: 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (IEEE, Curacao, 2017), pp. 1\u20135. https:\/\/doi.org\/10.1109\/CAMSAP.2017.8313141","DOI":"10.1109\/CAMSAP.2017.8313141"},{"issue":"2","key":"2757_CR4","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1109\/TSP.2016.2617858","volume":"65","author":"M Bousse","year":"2017","unstructured":"M. Bousse et al., A tensor-based method for large-scale blind source separation using segmentation. IEEE Trans. Signal Process. 65(2), 346\u2013358 (2017). https:\/\/doi.org\/10.1109\/TSP.2016.2617858","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"2757_CR5","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/MSP.2013.2297439","volume":"32","author":"A Cichocki","year":"2015","unstructured":"A. Cichocki et al., Tensor decompositions for signal processing applications: from two-way to multiway component analysis. IEEE Signal Process. Mag. 32(2), 145\u2013163 (2015). https:\/\/doi.org\/10.1109\/MSP.2013.2297439","journal-title":"IEEE Signal Process. Mag."},{"issue":"4","key":"2757_CR6","doi-asserted-by":"publisher","first-page":"1567","DOI":"10.1137\/140970276","volume":"36","author":"I Domanov","year":"2015","unstructured":"I. Domanov, L.D. Lathauwer, Generic uniqueness conditions for the canonical polyadic decomposition and INDSCAL. SIAM J. Matrix Anal. & Appl. 36(4), 1567\u20131589 (2015). https:\/\/doi.org\/10.1137\/140970276","journal-title":"SIAM J. Matrix Anal. & Appl."},{"issue":"13","key":"2757_CR7","doi-asserted-by":"publisher","first-page":"3475","DOI":"10.1109\/TSP.2018.2830317","volume":"66","author":"X-F Gong","year":"2018","unstructured":"X.-F. Gong et al., Double coupled canonical polyadic decomposition for joint blind source separation. IEEE Trans. Signal Process. 66(13), 3475\u20133490 (2018). https:\/\/doi.org\/10.1109\/TSP.2018.2830317","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"2757_CR8","doi-asserted-by":"publisher","first-page":"2317","DOI":"10.1007\/s00034-013-9556-9","volume":"32","author":"Y Guo","year":"2013","unstructured":"Y. Guo et al., Edge effect elimination in single-mixture blind source separation. Circuits Syst. Signal Process. 32(5), 2317\u20132334 (2013). https:\/\/doi.org\/10.1007\/s00034-013-9556-9","journal-title":"Circuits Syst. Signal Process."},{"key":"2757_CR9","doi-asserted-by":"publisher","unstructured":"D. Hutchison et al., in Latent Variable Analysis and Signal Separation: 9th International Conference, LVA\/ICA 2010, St. Malo, France, September 27\u201330, 2010. Proceedings (Springer, Berlin, 2010). https:\/\/doi.org\/10.1007\/978-3-642-15995-4.","DOI":"10.1007\/978-3-642-15995-4"},{"issue":"3","key":"2757_CR10","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1137\/07070111X","volume":"51","author":"TG Kolda","year":"2009","unstructured":"T.G. Kolda, B.W. Bader, Tensor decompositions and applications. SIAM Rev. 51(3), 455\u2013500 (2009). https:\/\/doi.org\/10.1137\/07070111X","journal-title":"SIAM Rev."},{"issue":"9","key":"2757_CR11","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1109\/JPROC.2015.2460697","volume":"103","author":"D Lahat","year":"2015","unstructured":"D. Lahat et al., Multimodal data fusion: an overview of methods, challenges, and prospects. Proc. IEEE 103(9), 1449\u20131477 (2015). https:\/\/doi.org\/10.1109\/JPROC.2015.2460697","journal-title":"Proc. IEEE"},{"issue":"3","key":"2757_CR12","doi-asserted-by":"publisher","first-page":"1096","DOI":"10.1109\/TSP.2007.908929","volume":"56","author":"L De Lathauwer","year":"2008","unstructured":"L. De Lathauwer, J. Castaing, Blind identification of underdetermined mixtures by simultaneous matrix diagonalization. IEEE Trans. Signal Process. 56(3), 1096\u20131105 (2008). https:\/\/doi.org\/10.1109\/TSP.2007.908929","journal-title":"IEEE Trans. Signal Process."},{"issue":"6","key":"2757_CR13","doi-asserted-by":"publisher","first-page":"2965","DOI":"10.1109\/TSP.2007.893943","volume":"55","author":"L De Lathauwer","year":"2007","unstructured":"L. De Lathauwer et al., Fourth-order cumulant-based blind identification of underdetermined mixtures. IEEE Trans. Signal Process. 55(6), 2965\u20132973 (2007). https:\/\/doi.org\/10.1109\/TSP.2007.893943","journal-title":"IEEE Trans. Signal Process."},{"issue":"8","key":"2757_CR14","doi-asserted-by":"publisher","first-page":"3007","DOI":"10.1109\/TCSII.2021.3065385","volume":"68","author":"A Lawal","year":"2021","unstructured":"A. Lawal et al., Blind signal estimation using structured subspace technique. IEEE Trans. Circuits Syst. II. 68(8), 3007\u20133011 (2021). https:\/\/doi.org\/10.1109\/TCSII.2021.3065385","journal-title":"IEEE Trans. Circuits Syst. II."},{"issue":"10","key":"2757_CR15","doi-asserted-by":"publisher","first-page":"2314","DOI":"10.1016\/j.sigpro.2011.04.016","volume":"91","author":"X-L Li","year":"2011","unstructured":"X.-L. Li et al., Joint blind source separation by generalized joint diagonalization of cumulant matrices. Signal Process. 91(10), 2314\u20132322 (2011). https:\/\/doi.org\/10.1016\/j.sigpro.2011.04.016","journal-title":"Signal Process."},{"issue":"12","key":"2757_CR16","doi-asserted-by":"publisher","first-page":"7615","DOI":"10.1007\/s00034-023-02470-8","volume":"42","author":"J Lu","year":"2023","unstructured":"J. Lu et al., An improved underdetermined blind source separation method for insufficiently sparse sources. Circuits Syst. Signal Process. 42(12), 7615\u20137639 (2023). https:\/\/doi.org\/10.1007\/s00034-023-02470-8","journal-title":"Circuits Syst. Signal Process."},{"issue":"2","key":"2757_CR17","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1109\/TSP.2010.2089625","volume":"59","author":"X Luciani","year":"2011","unstructured":"X. Luciani et al., Blind identification of underdetermined mixtures based on the characteristic function: the complex case. IEEE Trans. Signal Process. 59(2), 540\u2013553 (2011). https:\/\/doi.org\/10.1109\/TSP.2010.2089625","journal-title":"IEEE Trans. Signal Process."},{"issue":"1","key":"2757_CR18","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1109\/TCSII.2022.3205933","volume":"70","author":"B Ma","year":"2023","unstructured":"B. Ma et al., Tensor-based underdetermined blind identification of instantaneous mixtures. IEEE Trans. Circuits Syst. II. 70(1), 346\u2013350 (2023). https:\/\/doi.org\/10.1109\/TCSII.2022.3205933","journal-title":"IEEE Trans. Circuits Syst. II."},{"issue":"7","key":"2757_CR19","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TNSRE.2015.2454503","volume":"24","author":"GR Naik","year":"2016","unstructured":"G.R. Naik et al., Single-channel EMG classification with ensemble-empirical-mode-decomposition-based ICA for diagnosing neuromuscular disorders. IEEE Trans. Neural Syst. Rehabil. Eng. 24(7), 734\u2013743 (2016). https:\/\/doi.org\/10.1109\/TNSRE.2015.2454503","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"6","key":"2757_CR20","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1016\/j.ymssp.2005.08.003","volume":"19","author":"M Puigt","year":"2005","unstructured":"M. Puigt, Y. Deville, Time\u2013frequency ratio-based blind separation methods for attenuated and time-delayed sources. Mech. Syst. Signal Process. 19(6), 1348\u20131379 (2005). https:\/\/doi.org\/10.1016\/j.ymssp.2005.08.003","journal-title":"Mech. Syst. Signal Process."},{"key":"2757_CR21","doi-asserted-by":"publisher","unstructured":"SangGyun Kim, C.D. Yoo, Underdetermined blind source separation based on subspace representation. IEEE Trans. Signal Process. 57 (7), 2604\u20132614 (2009). https:\/\/doi.org\/10.1109\/TSP.2009.2017570","DOI":"10.1109\/TSP.2009.2017570"},{"issue":"3","key":"2757_CR22","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1137\/110832124","volume":"22","author":"L Sorber","year":"2012","unstructured":"L. Sorber et al., Unconstrained optimization of real functions in complex variables. SIAM J. Optim. 22(3), 879\u2013898 (2012). https:\/\/doi.org\/10.1137\/110832124","journal-title":"SIAM J. Optim."},{"issue":"2","key":"2757_CR23","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1137\/120868323","volume":"23","author":"L Sorber","year":"2013","unstructured":"L. Sorber et al., Optimization-based algorithms for tensor decompositions: canonical polyadic decomposition, decomposition in Rank-$(L_r, L_r,1)$ terms, and a new generalization. SIAM J. Optim. 23(2), 695\u2013720 (2013). https:\/\/doi.org\/10.1137\/120868323","journal-title":"SIAM J. Optim."},{"key":"2757_CR24","unstructured":"N. Vervliet, O. Debals, L. Sorber, M. Van Barel, L. De Lathauwer, \u201cTensorlab 3.0,\u201d 3 2016. Available: http:\/\/www.tensorlab.net\/."},{"issue":"11","key":"2757_CR25","doi-asserted-by":"publisher","first-page":"4286","DOI":"10.1109\/TCSII.2023.3285636","volume":"70","author":"Y Wang","year":"2023","unstructured":"Y. Wang et al., A novel underdetermined blind source separation algorithm of frequency-hopping signals via time-frequency analysis. IEEE Trans. Circuits Syst. II Express Briefs 70(11), 4286\u20134290 (2023). https:\/\/doi.org\/10.1109\/TCSII.2023.3285636","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"},{"key":"2757_CR26","unstructured":"S.J. Wright, Numerical Optimization (2006)"},{"key":"2757_CR27","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.neucom.2020.06.029","volume":"411","author":"Y Xie","year":"2020","unstructured":"Y. Xie et al., Underdetermined blind separation of source using l p-norm diversity measures. Neurocomputing 411, 259\u2013267 (2020). https:\/\/doi.org\/10.1016\/j.neucom.2020.06.029","journal-title":"Neurocomputing"},{"issue":"8","key":"2757_CR28","doi-asserted-by":"publisher","first-page":"3015","DOI":"10.1109\/TCSI.2019.2908394","volume":"66","author":"J Yang","year":"2019","unstructured":"J. Yang et al., Under-determined convolutive blind source separation combining density-based clustering and sparse reconstruction in time-frequency domain. IEEE Trans. Circuits Syst. I. 66(8), 3015\u20133027 (2019). https:\/\/doi.org\/10.1109\/TCSI.2019.2908394","journal-title":"IEEE Trans. Circuits Syst. I."},{"issue":"12","key":"2757_CR29","doi-asserted-by":"publisher","first-page":"3102","DOI":"10.1109\/TNNLS.2016.2610960","volume":"28","author":"L Zhen","year":"2017","unstructured":"L. Zhen et al., Underdetermined blind source separation using sparse coding. IEEE Trans. Neural Netw. Learn. Syst. 28(12), 3102\u20133108 (2017). https:\/\/doi.org\/10.1109\/TNNLS.2016.2610960","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"2757_CR30","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1109\/LSP.2016.2546687","volume":"23","author":"L Zou","year":"2016","unstructured":"L. Zou et al., Underdetermined joint blind source separation for two datasets based on tensor decomposition. IEEE Signal Process. Lett. 23(5), 673\u2013677 (2016). https:\/\/doi.org\/10.1109\/LSP.2016.2546687","journal-title":"IEEE Signal Process. Lett."},{"key":"2757_CR31","doi-asserted-by":"publisher","first-page":"7474","DOI":"10.1109\/ACCESS.2017.2695497","volume":"5","author":"L Zou","year":"2017","unstructured":"L. Zou et al., Underdetermined joint blind source separation of multiple datasets. IEEE Access. 5, 7474\u20137487 (2017). https:\/\/doi.org\/10.1109\/ACCESS.2017.2695497","journal-title":"IEEE Access."}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-024-02757-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-024-02757-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-024-02757-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T23:05:17Z","timestamp":1724454317000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-024-02757-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,4]]},"references-count":31,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["2757"],"URL":"https:\/\/doi.org\/10.1007\/s00034-024-02757-4","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"value":"0278-081X","type":"print"},{"value":"1531-5878","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,4]]},"assertion":[{"value":"20 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 June 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2024","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 no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}}]}}