{"id":"https://openalex.org/W4286539639","doi":"https://doi.org/10.1109/lsp.2022.3193036","title":"A Constrained Block-Term Tensor Decomposition Framework for Spectrum Cartography","display_name":"A Constrained Block-Term Tensor Decomposition Framework for Spectrum Cartography","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4286539639","doi":"https://doi.org/10.1109/lsp.2022.3193036"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3193036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3193036","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058044634","display_name":"Xiaonan Chen","orcid":"https://orcid.org/0000-0002-8335-778X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaonan Chen","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8335-778X","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004042409","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-4422-1705"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4422-1705","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080299506","display_name":"Qihang Peng","orcid":"https://orcid.org/0000-0003-2476-9028"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Peng","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2476-9028","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101726280","display_name":"Guoyong Zhang","orcid":"https://orcid.org/0000-0002-6363-3169"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyong Zhang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6363-3169","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.491,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88500136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"1699","last_page":"1703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7091603875160217},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6229349970817566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5318782925605774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5254610776901245},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5165154337882996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4043395519256592}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7091603875160217},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6229349970817566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5318782925605774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5254610776901245},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5165154337882996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4043395519256592},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3193036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3193036","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G4223745121","display_name":null,"funder_award_id":"2022NSFSC0495","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G6339383149","display_name":null,"funder_award_id":"U19B2014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6351621299","display_name":null,"funder_award_id":"62001089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6863986931","display_name":null,"funder_award_id":"62131005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6866374225","display_name":"\u8d85\u4f4e\u9891\u4e0e\u751a\u4f4e\u9891\u901a\u4fe1\u8fde\u7eed\u76f8\u4f4d\u8c03\u5236\u4fe1\u53f7\u9ad8\u6548\u63a5\u6536\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1499137793","https://openalex.org/W1557324374","https://openalex.org/W1983559465","https://openalex.org/W2000045479","https://openalex.org/W2074065373","https://openalex.org/W2091484400","https://openalex.org/W2119233169","https://openalex.org/W2126381689","https://openalex.org/W2127856853","https://openalex.org/W2157879939","https://openalex.org/W2163232332","https://openalex.org/W2414995726","https://openalex.org/W2559239804","https://openalex.org/W2712405193","https://openalex.org/W2763697523","https://openalex.org/W2791154158","https://openalex.org/W2883649322","https://openalex.org/W2989504803","https://openalex.org/W2991033093","https://openalex.org/W3011310901","https://openalex.org/W3044954276","https://openalex.org/W3100202987","https://openalex.org/W3105393233","https://openalex.org/W3114289195","https://openalex.org/W4312258136"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793","https://openalex.org/W4238204885","https://openalex.org/W2963966623"],"abstract_inverted_index":{"Joint":[0],"spectrum":[1,65],"cartography":[2],"and":[3,38,67,82,116,141],"disaggregation":[4],"from":[5,29],"sparse":[6],"spatial":[7,68],"observations":[8],"has":[9,105],"been":[10],"proven":[11],"to":[12,110],"be":[13],"theoretically":[14],"feasible":[15],"based":[16],"on":[17,120],"block-term":[18],"tensor":[19],"decomposition":[20],"(BTD)":[21],"model.":[22],"However,":[23],"the":[24,79,94,112,124,130],"existing":[25],"BTD":[26],"framework":[27,52,76],"suffers":[28],"inherent":[30],"drawbacks":[31],"in":[32,53,136],"terms":[33,137],"of":[34,61,74,92,96,114,138],"numerical":[35],"stability,":[36,139],"complexity":[37,140],"noise":[39,142],"robustness.":[40,143],"To":[41],"combat":[42],"with":[43,123],"these":[44],"drawbacks,":[45],"we":[46],"propose":[47],"a":[48,86,99],"new":[49],"Constrained-BTD":[50],"(CBTD)":[51],"this":[54],"letter":[55],"by":[56,118],"fully":[57],"utilizing":[58],"practical":[59],"traits":[60],"geographical":[62],"power":[63],"density":[64],"(PSD)":[66],"loss":[69],"field":[70],"(SLF).":[71],"The":[72],"cornerstone":[73],"CBTD":[75],"is":[77,108],"formulating":[78],"joint":[80],"PSD":[81,115],"SLF":[83,117],"estimation":[84],"as":[85],"constrained":[87],"matrix":[88],"factorization":[89],"problem,":[90],"instead":[91],"addressing":[93],"factors":[95],"BTD.":[97],"Further,":[98],"projection":[100,119],"gradient-based":[101],"(PG)":[102],"algorithm,":[103],"which":[104],"sublinear":[106],"convergence,":[107],"proposed":[109,131],"handle":[111],"restrictions":[113],"manifolds.":[121],"Compared":[122],"baseline":[125],"methods,":[126],"simulations":[127],"verify":[128],"that":[129],"approach":[132],"obtains":[133],"better":[134],"performances":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}