{"id":"https://openalex.org/W1495508883","doi":"https://doi.org/10.1109/cit.2004.1357331","title":"Efficient network training method for two-dimension DOA estimation","display_name":"Efficient network training method for two-dimension DOA estimation","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W1495508883","doi":"https://doi.org/10.1109/cit.2004.1357331","mag":"1495508883"},"language":"en","primary_location":{"id":"doi:10.1109/cit.2004.1357331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2004.1357331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fourth International Conference onComputer and Information Technology, 2004. CIT '04.","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/A5101983786","display_name":"Hongguang Chen","orcid":"https://orcid.org/0000-0001-5233-5038"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongguang Chen","raw_affiliation_strings":["ATR Key LAB, National University of Defense Technology, Changsha, Hunan, China","ATR key Lab, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR Key LAB, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ATR key Lab, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334873","display_name":"Biao Li","orcid":"https://orcid.org/0000-0002-8952-1990"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Li","raw_affiliation_strings":["ATR Key LAB, National University of Defense Technology, Changsha, Hunan, China","ATR key Lab, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR Key LAB, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ATR key Lab, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhenkang Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenkang Shen","raw_affiliation_strings":["ATR Key LAB, National University of Defense Technology, Changsha, Hunan, China","ATR key Lab, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR Key LAB, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ATR key Lab, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.0404463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1028","last_page":"1032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994000196456909,"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/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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/dimension","display_name":"Dimension (graph theory)","score":0.7990455627441406},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.7968323230743408},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7366078495979309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797047853469849},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6715948581695557},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6060525178909302},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5500164031982422},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5252460837364197},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5137863755226135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44989249110221863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4463752210140228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4326293468475342},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22953084111213684},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1062745749950409}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7990455627441406},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.7968323230743408},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7366078495979309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797047853469849},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6715948581695557},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6060525178909302},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5500164031982422},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5252460837364197},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5137863755226135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44989249110221863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4463752210140228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4326293468475342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22953084111213684},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1062745749950409},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cit.2004.1357331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2004.1357331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fourth International Conference onComputer and Information Technology, 2004. CIT '04.","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":11,"referenced_works":["https://openalex.org/W1974513581","https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2130058948","https://openalex.org/W2131654448","https://openalex.org/W2132279897","https://openalex.org/W2151517138","https://openalex.org/W2166542403","https://openalex.org/W2167529044","https://openalex.org/W2170200062","https://openalex.org/W6679498790"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2483195039","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2048211457","https://openalex.org/W2281797687","https://openalex.org/W2358411735","https://openalex.org/W4250650723"],"abstract_inverted_index":{"Training":[0],"set":[1],"is":[2,27],"vary":[3],"large":[4],"in":[5,18,29,46],"two-dimensional":[6],"(2D)":[7],"direction":[8],"estimation":[9],"which":[10],"prevents":[11],"neural":[12,49],"network":[13],"from":[14],"being":[15],"widely":[16],"used":[17],"2D":[19],"DOA":[20],"estimation.":[21],"A":[22],"dimension-degraded":[23],"training":[24,35,56],"(DDT)":[25],"method":[26],"proposed":[28,80],"this":[30],"paper":[31],"to":[32],"reduce":[33],"the":[34,38,63,69,76,79],"set.":[36],"In":[37],"DDT":[39],"method,":[40],"elevation":[41],"and":[42],"azimuth":[43],"are":[44,59],"estimated":[45],"two":[47,54],"separate":[48],"networks":[50],"respectively.":[51],"We":[52],"construct":[53],"1-dimensional":[55],"sets":[57],"that":[58],"much":[60],"smaller":[61],"than":[62],"original":[64],"2-dimensional":[65],"one":[66],"while":[67],"keeping":[68],"high":[70],"resolution":[71],"of":[72,78],"angle.":[73],"Simulations":[74],"show":[75],"validity":[77],"method.":[81]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
