{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:14:17Z","timestamp":1780586057055,"version":"3.54.1"},"reference-count":20,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003467","name":"Hangzhou Dianzi University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003467","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Digital Signal Processing"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.dsp.2026.106213","type":"journal-article","created":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:24:52Z","timestamp":1778081092000},"page":"106213","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Radar pulse stream signal sorting based on dynamic hypergraph learning and tensor representation"],"prefix":"10.1016","volume":"180","author":[{"given":"Zhiyin","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deguo","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuibin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8576-6698","authenticated-orcid":false,"given":"Han","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minhong","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"7","key":"10.1016\/j.dsp.2026.106213_bib0001","doi-asserted-by":"crossref","first-page":"1121","DOI":"10.3390\/rs16071121","article-title":"TR-RAGCN-AFF-RESS: a method for radar emitter signal sorting","volume":"16","author":"Zhang","year":"2024","journal-title":"Remote Sens."},{"issue":"3","key":"10.1016\/j.dsp.2026.106213_bib0002","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1109\/TAES.2021.3122411","article-title":"Model-based representation and deinterleaving of mixed radar pulse sequences with neural machine translation network","volume":"58","author":"Zhu","year":"2021","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"6","key":"10.1016\/j.dsp.2026.106213_bib0003","doi-asserted-by":"crossref","first-page":"3585","DOI":"10.1109\/TAES.2021.3079571","article-title":"Pulse deinterleaving for multifunction radars with hierarchical deep neural networks","volume":"57","author":"Liu","year":"2021","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"8","key":"10.1016\/j.dsp.2026.106213_bib0004","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1049\/rsn2.12417","article-title":"An intelligent radar signal classification and deinterleaving method with unified residual recurrent neural network","volume":"17","author":"Al-Malahi","year":"2023","journal-title":"IET Radar Sonar Navig."},{"key":"10.1016\/j.dsp.2026.106213_bib0005","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1109\/LSP.2023.3287404","article-title":"A novel radar signals sorting method via residual graph convolutional network","volume":"30","author":"Lang","year":"2023","journal-title":"IEEE Signal Process. Lett."},{"issue":"14","key":"10.1016\/j.dsp.2026.106213_bib0006","doi-asserted-by":"crossref","first-page":"26839","DOI":"10.1109\/JSEN.2025.3568048","article-title":"Unsupervised radar signal sorting method based on co-optimization of feature fusion and data augmentation","volume":"25","author":"Dai","year":"2025","journal-title":"IEEE Sens. J."},{"issue":"7","key":"10.1016\/j.dsp.2026.106213_bib0007","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.3390\/rs15071867","article-title":"A sorting method of SAR emitter signal sorting based on self-supervised clustering","volume":"15","author":"Dai","year":"2023","journal-title":"Remote Sens."},{"key":"10.1016\/j.dsp.2026.106213_bib0008","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1109\/LSP.2020.3044259","article-title":"Multi-function radar signal sorting based on complex network","volume":"28","author":"Chi","year":"2020","journal-title":"IEEE Signal Process. Lett."},{"issue":"5","key":"10.1016\/j.dsp.2026.106213_bib0009","doi-asserted-by":"crossref","first-page":"14732","DOI":"10.1109\/TAES.2025.3586258","article-title":"A hypergraph-based multifunction radar signal sorting method for mitigating batch-increasing in complex electromagnetic environments","volume":"61","author":"Sun","year":"2025","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"10.1016\/j.dsp.2026.106213_bib0010","doi-asserted-by":"crossref","first-page":"27859","DOI":"10.1109\/JSEN.2024.3431021","article-title":"A real-time radar signal sorting method under Bayesian framework with dynamic cluster merging","volume":"24","author":"Wan","year":"2024","journal-title":"IEEE Sens. J."},{"issue":"4","key":"10.1016\/j.dsp.2026.106213_bib0011","doi-asserted-by":"crossref","first-page":"10663","DOI":"10.1109\/TAES.2025.3563321","article-title":"A rapid radar signal sorting method based on density and Gaussian mixture model data stream clustering","volume":"61","author":"Huo","year":"2025","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"10.1016\/j.dsp.2026.106213_bib0012","series-title":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"2306","article-title":"Directly solving the original ratiocut problem for effective data clustering","author":"Li","year":"2018"},{"key":"10.1016\/j.dsp.2026.106213_bib0013","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.patrec.2013.08.006","article-title":"Low rank subspace clustering (LRSC)","volume":"43","author":"Vidal","year":"2014","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.dsp.2026.106213_bib0014","doi-asserted-by":"crossref","first-page":"2580","DOI":"10.1109\/LSP.2024.3461656","article-title":"A radar signal deinterleaving method based on complex network and Laplacian graph clustering","volume":"31","author":"Guo","year":"2024","journal-title":"IEEE Signal Process. Lett."},{"issue":"3","key":"10.1016\/j.dsp.2026.106213_bib0015","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1109\/TNSE.2021.3067939","article-title":"Dynamic maximal cliques detection and evolution management in social internet of things: a formal concept analysis approach","volume":"9","author":"Yang","year":"2021","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"5","key":"10.1016\/j.dsp.2026.106213_bib0016","first-page":"2548","article-title":"Hypergraph learning: methods and practices","volume":"44","author":"Gao","year":"2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"10.1016\/j.dsp.2026.106213_bib0017","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/MAES.2008.4523916","article-title":"Radar handbook, (Mi Skolnik, ed; 2008)[book review]","volume":"23","author":"Daum","year":"2008","journal-title":"IEEE Aerosp. Electron. Syst. Mag."},{"issue":"4","key":"10.1016\/j.dsp.2026.106213_bib0018","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","article-title":"A tutorial on spectral clustering","volume":"17","author":"von Luxburg","year":"2007","journal-title":"Stat. Comput."},{"key":"10.1016\/j.dsp.2026.106213_bib0019","series-title":"Efficient Parameter-Free Clustering Using First Neighbor Relations","first-page":"8934","author":"Sarfraz","year":"2019"},{"key":"10.1016\/j.dsp.2026.106213_bib0020","article-title":"DGStream: high quality and efficiency stream clustering algorithm","volume":"141","year":"2020","journal-title":"Expert Syst. Appl."}],"container-title":["Digital Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1051200426003325?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1051200426003325?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T14:50:09Z","timestamp":1780584609000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1051200426003325"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":20,"alternative-id":["S1051200426003325"],"URL":"https:\/\/doi.org\/10.1016\/j.dsp.2026.106213","relation":{},"ISSN":["1051-2004"],"issn-type":[{"value":"1051-2004","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Radar pulse stream signal sorting based on dynamic hypergraph learning and tensor representation","name":"articletitle","label":"Article Title"},{"value":"Digital Signal Processing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.dsp.2026.106213","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"106213"}}