{"id":"https://openalex.org/W2972379299","doi":"https://doi.org/10.1109/ispacs.2018.8923355","title":"The Zoomed Iterative Adaptive Approach","display_name":"The Zoomed Iterative Adaptive Approach","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2972379299","doi":"https://doi.org/10.1109/ispacs.2018.8923355","mag":"2972379299"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2018.8923355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2018.8923355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-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/A5020173377","display_name":"Maksim Butsenko","orcid":"https://orcid.org/0000-0001-7182-0370"},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":true,"raw_author_name":"Maksim Butsenko","raw_affiliation_strings":["Thomas Johann Seebeck Dept. of Electronics, Tallinn University of Technology, Estonia"],"affiliations":[{"raw_affiliation_string":"Thomas Johann Seebeck Dept. of Electronics, Tallinn University of Technology, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007565825","display_name":"Johan Sw\u00e4rd","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]},{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Sward","raw_affiliation_strings":["Dept. of Mathematical Statistics, Lund University, Sweden"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematical Statistics, Lund University, Sweden","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037213595","display_name":"Andreas Jakobsson","orcid":"https://orcid.org/0000-0002-2156-6973"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]},{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Jakobsson","raw_affiliation_strings":["Dept. of Mathematical Statistics, Lund University, Sweden"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematical Statistics, Lund University, Sweden","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020173377"],"corresponding_institution_ids":["https://openalex.org/I111112146"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24733351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"352","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.8873522281646729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7058333158493042},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.6490986943244934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5943873524665833},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5202811360359192},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5159516930580139},{"id":"https://openalex.org/keywords/iterative-refinement","display_name":"Iterative refinement","score":0.42797911167144775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22172439098358154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06371435523033142}],"concepts":[{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.8873522281646729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058333158493042},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.6490986943244934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5943873524665833},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5202811360359192},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5159516930580139},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.42797911167144775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22172439098358154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06371435523033142},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ispacs.2018.8923355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2018.8923355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"},{"id":"pmh:oai:lup.lub.lu.se:1e0c2ebd-66cd-4d63-a5f7-42336e719804","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/1e0c2ebd-66cd-4d63-a5f7-42336e719804","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1521990686","https://openalex.org/W1814500939","https://openalex.org/W1860718507","https://openalex.org/W1967326948","https://openalex.org/W1987885649","https://openalex.org/W2008430306","https://openalex.org/W2011046740","https://openalex.org/W2012439640","https://openalex.org/W2016131521","https://openalex.org/W2021070329","https://openalex.org/W2058598591","https://openalex.org/W2081437276","https://openalex.org/W2103519107","https://openalex.org/W2112258609","https://openalex.org/W2112855412","https://openalex.org/W2115891560","https://openalex.org/W2116123718","https://openalex.org/W2134397831","https://openalex.org/W2150898771","https://openalex.org/W2151246884","https://openalex.org/W2153567056","https://openalex.org/W2164541537","https://openalex.org/W2168175751","https://openalex.org/W2169652966","https://openalex.org/W2608478631","https://openalex.org/W2963533236","https://openalex.org/W6638963967"],"related_works":["https://openalex.org/W2788561539","https://openalex.org/W1771726367","https://openalex.org/W2034475059","https://openalex.org/W144062141","https://openalex.org/W3006775069","https://openalex.org/W2895720711","https://openalex.org/W2972379299","https://openalex.org/W2159155511","https://openalex.org/W82507644","https://openalex.org/W2528330837"],"abstract_inverted_index":{"In":[0,95],"this":[1,96],"work,":[2],"we":[3,98],"investigate":[4],"the":[5,13,30,55,64,78,83,87,93],"possibility":[6],"of":[7,29,34,74,92,111],"incorporating":[8],"a":[9],"zooming":[10,35,75,102],"procedure":[11,103],"for":[12,23,71,106,121],"well":[14],"known":[15],"iterative":[16,101],"adaptive":[17],"approach":[18],"(IAA),":[19],"and":[20,46],"thereby":[21],"allow":[22,70,120],"higher":[24],"precision":[25],"on":[26],"relevant":[27],"areas":[28],"spectrum.":[31,94,113],"These":[32],"kinds":[33],"schemes":[36],"have":[37,47],"been":[38,61],"used":[39],"successfully":[40],"together":[41],"with":[42],"several":[43],"other":[44],"methods,":[45],"in":[48,54],"many":[49],"cases":[50],"shown":[51,118],"dramatical":[52],"decrease":[53],"computational":[56],"cost.":[57],"It":[58],"has":[59],"earlier":[60],"noted":[62],"that":[63,82],"IAA":[65,112],"method":[66],"does":[67],"not":[68],"easily":[69],"these":[72],"kind":[73],"approaches,":[76],"as":[77],"covariance":[79],"formulation":[80],"dictates":[81],"resolution":[84],"must":[85],"be":[86],"same":[88],"over":[89],"all":[90],"regions":[91],"paper,":[97],"present":[99],"an":[100,107],"which":[104],"allows":[105],"efficient":[108],"local":[109],"estimation":[110,126],"The":[114],"proposed":[115],"algorithm":[116],"is":[117],"to":[119],"significant":[122],"speedups":[123],"without":[124],"sacrificing":[125],"performance.":[127]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}