{"id":"https://openalex.org/W2184249748","doi":"https://doi.org/10.1109/lsp.2015.2498195","title":"Importance Sampling-Based Maximum Likelihood Estimation for Multidimensional Harmonic Retrieval","display_name":"Importance Sampling-Based Maximum Likelihood Estimation for Multidimensional Harmonic Retrieval","publication_year":2015,"publication_date":"2015-11-05","ids":{"openalex":"https://openalex.org/W2184249748","doi":"https://doi.org/10.1109/lsp.2015.2498195","mag":"2184249748"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2498195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2498195","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/A5111446401","display_name":"Wen\u2010Hsien Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wen-Hsien Fang","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044019929","display_name":"Yi-Chiao Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Chiao Lee","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077826217","display_name":"Yie\u2010Tarng Chen","orcid":"https://orcid.org/0000-0002-7221-1603"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yie-Tarng Chen","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111446401"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.5743,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67786135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"23","issue":"1","first_page":"35","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.7154495716094971},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6393317580223083},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5488553047180176},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5414727926254272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5250137448310852},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5220639109611511},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5069172978401184},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.49890637397766113},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46684274077415466},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.4265936017036438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42518073320388794},{"id":"https://openalex.org/keywords/harmonic-mean","display_name":"Harmonic mean","score":0.4213871955871582},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41640955209732056},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34017282724380493},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3349315822124481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2377297580242157},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.07174310088157654}],"concepts":[{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.7154495716094971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6393317580223083},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5488553047180176},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5414727926254272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5250137448310852},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5220639109611511},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5069172978401184},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.49890637397766113},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46684274077415466},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.4265936017036438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42518073320388794},{"id":"https://openalex.org/C203858083","wikidata":"https://www.wikidata.org/wiki/Q188347","display_name":"Harmonic mean","level":2,"score":0.4213871955871582},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41640955209732056},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34017282724380493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3349315822124481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2377297580242157},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.07174310088157654},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2015.2498195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2498195","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":[],"awards":[{"id":"https://openalex.org/G1271352086","display_name":null,"funder_award_id":"102-2221-E-011-016-MY2","funder_id":"https://openalex.org/F4320322108","funder_display_name":"Ministry of Science and Technology"},{"id":"https://openalex.org/G585348969","display_name":null,"funder_award_id":"103-2221-E-011-117","funder_id":"https://openalex.org/F4320322108","funder_display_name":"Ministry of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W90623281","https://openalex.org/W653761051","https://openalex.org/W1503398984","https://openalex.org/W1834265579","https://openalex.org/W2026911120","https://openalex.org/W2041413102","https://openalex.org/W2048198391","https://openalex.org/W2064709514","https://openalex.org/W2096973057","https://openalex.org/W2109522725","https://openalex.org/W2128131274","https://openalex.org/W2133165430","https://openalex.org/W2141310001","https://openalex.org/W2151745227","https://openalex.org/W2156800675","https://openalex.org/W2160664759","https://openalex.org/W2162861935","https://openalex.org/W2168283004","https://openalex.org/W6638603530"],"related_works":["https://openalex.org/W2585557503","https://openalex.org/W2169354510","https://openalex.org/W1967296369","https://openalex.org/W4389474210","https://openalex.org/W1971427935","https://openalex.org/W2014635939","https://openalex.org/W4299934179","https://openalex.org/W2073381184","https://openalex.org/W1952484348","https://openalex.org/W3015584308"],"abstract_inverted_index":{"This":[0],"letter":[1],"addresses":[2],"a":[3,23,46],"maximum":[4],"likelihood":[5],"(ML)":[6],"algorithm":[7,17,84],"for":[8],"multidimensional":[9],"(m-D)":[10],"harmonic":[11],"retrieval":[12],"(MHR)":[13],"problems.":[14],"The":[15],"new":[16,83],"iteratively":[18],"estimates":[19],"the":[20,34,43,54,62,66,69,82,86,93],"parameters":[21,71],"in":[22,99],"rough":[24],"to":[25,32,60],"fine":[26],"manner,":[27],"intervened":[28],"with":[29],"filtering":[30],"processes":[31],"separate":[33],"signals":[35],"into":[36],"appropriate":[37],"groups.":[38],"To":[39],"facilitate":[40],"implementations":[41],"of":[42,56,68],"ML":[44,63],"estimation,":[45],"Monte":[47],"Carlo":[48],"method,":[49],"importance":[50],"sampling":[51],"(IS),":[52],"and":[53,90],"theorem":[55],"Pincus":[57],"are":[58],"utilized":[59],"determine":[61],"estimates.":[64],"Moreover,":[65],"pairing":[67],"estimated":[70],"is":[72],"automatically":[73],"achieved":[74],"without":[75],"extra":[76],"overhead.":[77],"Conducted":[78],"simulations":[79],"demonstrate":[80],"that":[81],"outperforms":[85],"main":[87],"state-of-the-art":[88],"works":[89],"can":[91],"achieve":[92],"Cramer-Rao":[94],"lower":[95],"bound":[96],"(CRLB)":[97],"even":[98],"low":[100],"signal-to-noise":[101],"ratio":[102],"(SNR)":[103],"scenarios.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
