{"id":"https://openalex.org/W4387886051","doi":"https://doi.org/10.1109/lsp.2023.3324833","title":"Maximum Likelihood Estimation in Mixed Integer Linear Models","display_name":"Maximum Likelihood Estimation in Mixed Integer Linear Models","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387886051","doi":"https://doi.org/10.1109/lsp.2023.3324833","pmid":"https://pubmed.ncbi.nlm.nih.gov/37981947"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3324833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3324833","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","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10655770/pdf/nihms-1942694.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013944194","display_name":"David Tucker","orcid":"https://orcid.org/0000-0001-7769-3130"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Tucker","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020036167","display_name":"Shen Zhao","orcid":"https://orcid.org/0000-0003-1736-6378"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shen Zhao","raw_affiliation_strings":["Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079352035","display_name":"Lee C. Potter","orcid":"https://orcid.org/0000-0002-1537-1627"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lee C. Potter","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013944194"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.7849,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71925051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"1557","last_page":"1561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9977999925613403,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"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/estimation-theory","display_name":"Estimation theory","score":0.671404242515564},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5875135064125061},{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.523414134979248},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.5161784291267395},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5052548050880432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5014081001281738},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.46971362829208374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4657061696052551},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43694746494293213},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.4219488501548767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3976976275444031},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39735662937164307},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.37148725986480713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17436012625694275}],"concepts":[{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.671404242515564},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5875135064125061},{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.523414134979248},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.5161784291267395},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5052548050880432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5014081001281738},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.46971362829208374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4657061696052551},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43694746494293213},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.4219488501548767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3976976275444031},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39735662937164307},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.37148725986480713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17436012625694275},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lsp.2023.3324833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3324833","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"},{"id":"pmid:37981947","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37981947","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE signal processing letters","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10655770","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10655770","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10655770/pdf/nihms-1942694.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Process Lett","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10655770","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10655770","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10655770/pdf/nihms-1942694.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Process Lett","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G33985780","display_name":null,"funder_award_id":"15169","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5229247877","display_name":null,"funder_award_id":"FA8650-15-D-1845","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"},{"id":"https://openalex.org/G5419148158","display_name":null,"funder_award_id":"R01HL135489","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6734311016","display_name":null,"funder_award_id":"R01HL151697","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387886051.pdf","grobid_xml":"https://content.openalex.org/works/W4387886051.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W586944954","https://openalex.org/W1496801598","https://openalex.org/W1683834415","https://openalex.org/W1881017251","https://openalex.org/W1944127892","https://openalex.org/W1976826674","https://openalex.org/W1979090482","https://openalex.org/W2019945856","https://openalex.org/W2025038814","https://openalex.org/W2025934813","https://openalex.org/W2035781118","https://openalex.org/W2037101938","https://openalex.org/W2042465044","https://openalex.org/W2044017043","https://openalex.org/W2059504953","https://openalex.org/W2094837187","https://openalex.org/W2095093213","https://openalex.org/W2101362102","https://openalex.org/W2103519107","https://openalex.org/W2110395783","https://openalex.org/W2111416661","https://openalex.org/W2116414176","https://openalex.org/W2122503665","https://openalex.org/W2123065037","https://openalex.org/W2126483728","https://openalex.org/W2127106339","https://openalex.org/W2127309169","https://openalex.org/W2129270830","https://openalex.org/W2137127771","https://openalex.org/W2138293524","https://openalex.org/W2141040012","https://openalex.org/W2156787051","https://openalex.org/W2163320322","https://openalex.org/W2165523162","https://openalex.org/W2261963144","https://openalex.org/W2403633506","https://openalex.org/W2550072578","https://openalex.org/W2770020346","https://openalex.org/W2889019540","https://openalex.org/W2901771684","https://openalex.org/W3003337346","https://openalex.org/W3016905575","https://openalex.org/W3035129340","https://openalex.org/W3089779446","https://openalex.org/W3099536959","https://openalex.org/W3114772133","https://openalex.org/W3172085374","https://openalex.org/W3202944938","https://openalex.org/W4206142531","https://openalex.org/W4206558398","https://openalex.org/W4214813097","https://openalex.org/W4253905290","https://openalex.org/W4312066676","https://openalex.org/W6678360341","https://openalex.org/W6684376696"],"related_works":["https://openalex.org/W2366184732","https://openalex.org/W1499442185","https://openalex.org/W2379466508","https://openalex.org/W1573889165","https://openalex.org/W2120595071","https://openalex.org/W3139607207","https://openalex.org/W2162925157","https://openalex.org/W2155160077","https://openalex.org/W2978085921","https://openalex.org/W2353424004"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2],"maximum":[3],"likelihood":[4],"(ML)":[5],"parameter":[6,64],"estimation":[7,65,73],"problem":[8,19],"for":[9,62],"mixed":[10],"integer":[11],"linear":[12],"models":[13],"with":[14,68],"arbitrary":[15],"noise":[16],"covariance.":[17],"This":[18],"appears":[20],"in":[21],"applications":[22],"such":[23],"as":[24],"single":[25],"frequency":[26],"estimation,":[27],"phase":[28,75],"contrast":[29,76],"imaging,":[30],"and":[31,66,74],"direction":[32],"of":[33],"arrival":[34],"(DoA)":[35],"estimation.":[36],"Parameter":[37],"estimates":[38],"are":[39],"found":[40],"by":[41],"solving":[42],"a":[43,50,58],"closest":[44],"lattice":[45,51,59],"point":[46],"problem,":[47],"which":[48],"requires":[49],"basis.":[52],"In":[53],"this":[54],"letter,":[55],"we":[56],"present":[57],"basis":[60],"construction":[61],"ML":[63],"conclude":[67],"simulated":[69],"results":[70],"from":[71],"DoA":[72],"imaging.":[77]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
