{"id":"https://openalex.org/W2545905591","doi":"https://doi.org/10.1109/acssc.2011.6190040","title":"Tensor decompositions with block-Toeplitz structure and applications in signal processing","display_name":"Tensor decompositions with block-Toeplitz structure and applications in signal processing","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2545905591","doi":"https://doi.org/10.1109/acssc.2011.6190040","mag":"2545905591"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2011.6190040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2011.6190040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079087496","display_name":"Mikael S\u00f8rensen","orcid":"https://orcid.org/0000-0003-4337-7417"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Mikael Sorensen","raw_affiliation_strings":["Group Science, Engineering and Technology, Katholieke Universiteit Leuven, Kortrijk, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group Science, Engineering and Technology, Katholieke Universiteit Leuven, Kortrijk, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009006026","display_name":"Lieven De Lathauwer","orcid":"https://orcid.org/0000-0001-5562-5014"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Lieven De Lathauwer","raw_affiliation_strings":["Katholieke Universiteit Leuven, Leuven, Flanders, BE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Katholieke Universiteit Leuven, Leuven, Flanders, BE","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.18390805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"87","issue":null,"first_page":"454","last_page":"458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":1.0,"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":0.9779999852180481,"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"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.9686167240142822},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6812448501586914},{"id":"https://openalex.org/keywords/levinson-recursion","display_name":"Levinson recursion","score":0.6694384813308716},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.6277616024017334},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5770452618598938},{"id":"https://openalex.org/keywords/cartesian-tensor","display_name":"Cartesian tensor","score":0.5195315480232239},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4835340976715088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4832647442817688},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.4690561592578888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40977704524993896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3966217339038849},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.32553333044052124},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2204177975654602},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.21576374769210815},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.21134594082832336},{"id":"https://openalex.org/keywords/tensor-field","display_name":"Tensor field","score":0.15104210376739502},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1181735098361969},{"id":"https://openalex.org/keywords/exact-solutions-in-general-relativity","display_name":"Exact solutions in general relativity","score":0.08547058701515198}],"concepts":[{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.9686167240142822},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6812448501586914},{"id":"https://openalex.org/C122212055","wikidata":"https://www.wikidata.org/wiki/Q11679774","display_name":"Levinson recursion","level":3,"score":0.6694384813308716},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6277616024017334},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5770452618598938},{"id":"https://openalex.org/C64835786","wikidata":"https://www.wikidata.org/wiki/Q17004583","display_name":"Cartesian tensor","level":5,"score":0.5195315480232239},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4835340976715088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4832647442817688},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.4690561592578888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40977704524993896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3966217339038849},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.32553333044052124},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2204177975654602},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.21576374769210815},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.21134594082832336},{"id":"https://openalex.org/C166077713","wikidata":"https://www.wikidata.org/wiki/Q1758924","display_name":"Tensor field","level":3,"score":0.15104210376739502},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1181735098361969},{"id":"https://openalex.org/C520416788","wikidata":"https://www.wikidata.org/wiki/Q5419229","display_name":"Exact solutions in general relativity","level":2,"score":0.08547058701515198},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C148125525","wikidata":"https://www.wikidata.org/wiki/Q904927","display_name":"Tensor density","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2011.6190040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2011.6190040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1982725637","https://openalex.org/W2000045479","https://openalex.org/W2000215628","https://openalex.org/W2017948584","https://openalex.org/W2023204099","https://openalex.org/W2024166170","https://openalex.org/W2054032793","https://openalex.org/W2057503509","https://openalex.org/W2068532527","https://openalex.org/W2112224720","https://openalex.org/W2121739212","https://openalex.org/W2131746221","https://openalex.org/W2136023375","https://openalex.org/W2142556858","https://openalex.org/W2149795055","https://openalex.org/W2160941078"],"related_works":["https://openalex.org/W2045714585","https://openalex.org/W2374553943","https://openalex.org/W1654107233","https://openalex.org/W1987843132","https://openalex.org/W2182312572","https://openalex.org/W2201692517","https://openalex.org/W2383680446","https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161"],"abstract_inverted_index":{"Tensor":[0],"decompositions":[1],"with":[2,52],"Toeplitz":[3],"or":[4],"block-Toeplitz":[5,34,53],"structure":[6,35,54],"are":[7],"common":[8],"in":[9,17],"signal":[10],"processing.":[11],"For":[12],"instance,":[13],"they":[14],"show":[15],"up":[16],"blind":[18],"system":[19],"identification":[20],"and":[21,32,44],"deconvolution.":[22],"We":[23],"illustrate":[24],"that":[25],"by":[26],"simultaneously":[27],"taking":[28],"the":[29,33,37],"tensor":[30,50],"nature":[31],"of":[36],"problem":[38],"into":[39],"account":[40],"new":[41],"uniqueness":[42],"results":[43],"numerical":[45],"methods":[46],"for":[47],"computing":[48],"a":[49],"decomposition":[51],"can":[55],"be":[56],"obtained.":[57]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}