{"id":"https://openalex.org/W24110441","doi":"https://doi.org/10.1109/embc.2013.6610254","title":"DOA and Velocity Estimation of Moving Sources Using Rectangular Array and Local Approximation.","display_name":"DOA and Velocity Estimation of Moving Sources Using Rectangular Array and Local Approximation.","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W24110441","doi":"https://doi.org/10.1109/embc.2013.6610254","mag":"24110441"},"language":"en","primary_location":{"id":"mag:24110441","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/icwn/icwn2003.html#MontlouisS03","pdf_url":null,"source":{"id":"https://openalex.org/S4306419931","display_name":"International Conference on Wireless Networks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Wireless Networks","raw_type":null},"type":"article","indexed_in":[],"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/A5009408983","display_name":"Webert Montlouis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Webert Montlouis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006345148","display_name":"Bahram Shafai","orcid":"https://orcid.org/0000-0001-7523-3894"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bahram Shafai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3895,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2013","issue":null,"first_page":"256","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9919999837875366,"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/mathematics","display_name":"Mathematics","score":0.37236031889915466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3666134476661682},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36353349685668945},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3446081876754761},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.26957887411117554}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37236031889915466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3666134476661682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36353349685668945},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3446081876754761},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26957887411117554}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:24110441","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/icwn/icwn2003.html#MontlouisS03","pdf_url":null,"source":{"id":"https://openalex.org/S4306419931","display_name":"International Conference on Wireless Networks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Wireless Networks","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3026910208","https://openalex.org/W1966067241","https://openalex.org/W2357960993","https://openalex.org/W2390020338","https://openalex.org/W1567386687","https://openalex.org/W2039189724","https://openalex.org/W2067208654","https://openalex.org/W2932031752","https://openalex.org/W3024177922","https://openalex.org/W1983986594","https://openalex.org/W2113033718","https://openalex.org/W1546449667","https://openalex.org/W2381134983","https://openalex.org/W628339905","https://openalex.org/W2152477341","https://openalex.org/W2129595158","https://openalex.org/W2362664859","https://openalex.org/W2356171778","https://openalex.org/W2014257255","https://openalex.org/W2358543843"],"abstract_inverted_index":{"Accurate":[0],"multi-tissue":[1],"segmentation":[2,33,68,75,91,144,147,171],"of":[3,16,31,79,89,98,175],"magnetic":[4],"resonance":[5],"(MR)":[6],"images":[7],"is":[8,102],"an":[9],"essential":[10],"first":[11],"step":[12],"in":[13,87],"the":[14,32,94,99,156,173],"construction":[15,174],"a":[17,60,66,122,167,176],"realistic":[18,177],"finite":[19],"element":[20],"head":[21,115,131],"conductivity":[22],"model":[23],"(FEHCM)":[24],"for":[25,38,121,169,172,179],"electroencephalography":[26],"(EEG)":[27],"source":[28,95,140,181],"localization.":[29,182],"All":[30],"approaches":[34],"proposed":[35],"to":[36],"date":[37],"this":[39,54],"purpose":[40],"require":[41],"manual":[42,143,170],"intervention":[43],"or":[44],"correction":[45],"and":[46,51,58,93,117,125,133,160],"are":[47],"thus":[48],"laborious,":[49],"time-consuming,":[50],"subjective.":[52],"In":[53],"paper":[55],"we":[56],"propose":[57],"evaluate":[59],"fully":[61],"automatic":[62],"method":[63],"based":[64],"on":[65],"hierarchical":[67],"approach":[69],"(HSA)":[70],"incorporating":[71],"Bayesian-based":[72],"adaptive":[73],"mean-shift":[74],"(BAMS).":[76],"An":[77],"evaluation":[78,106],"HSA-BAMS,":[80],"as":[81,83,146,166],"well":[82],"two":[84,157],"reference":[85,158],"methods,":[86],"terms":[88],"both":[90],"accuracy":[92,97],"localization":[96],"resulting":[100],"FEHCM":[101,178],"also":[103],"presented.":[104],"The":[105,150],"was":[107],"performed":[108],"using":[109],"(i)":[110],"synthetic":[111,118],"2D":[112],"multi-modal":[113],"MRI":[114,130],"data":[116,132,136],"EEG":[119,135,180],"(generated":[120],"prescribed":[123],"source),":[124],"(ii)":[126],"real":[127,134],"3D":[128],"T1-weighted":[129],"(with":[137],"expert":[138],"determined":[139],"localization).":[141],"Expert":[142],"served":[145],"ground":[148],"truth.":[149],"results":[151],"show":[152],"that":[153,161],"HSA-BAMS":[154],"outperforms":[155],"methods":[159],"it":[162],"can":[163],"be":[164],"used":[165],"surrogate":[168]},"counts_by_year":[],"updated_date":"2025-07-26T23:02:30.502527","created_date":"2016-06-24T00:00:00"}