乐胖代购免代理版

{"id":"https://openalex.org/W2889353857","doi":"https://doi.org/10.1109/sam.2018.8448796","title":"Tracking of Multiple Sources in an Acoustic Sensor Network Using an Extended Gaussian Mixture PHD Filter","display_name":"Tracking of Multiple Sources in an Acoustic Sensor Network Using an Extended Gaussian Mixture PHD Filter","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2889353857","doi":"https://doi.org/10.1109/sam.2018.8448796","mag":"2889353857"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2018.8448796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5078105594","display_name":"Andreas Brendel","orcid":"https://orcid.org/0000-0002-6051-6346"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Brendel","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068787682","display_name":"Walter Kellermann","orcid":"https://orcid.org/0000-0002-6501-3174"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Walter Kellermann","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.061,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.215189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":62,"max":70},"biblio":{"volume":null,"issue":null,"first_page":"400","last_page":"404"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9987,"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/T11220","display_name":"Water Systems and Optimization","score":0.9913,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/position","display_name":"Position (finance)","score":0.6498102},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.6341188},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.61495167},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5901148}],"concepts":[{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6498102},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.6341188},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.61495167},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5901148},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.57118714},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5658145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5247017},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.41390648},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3834654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38003966},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36829454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32205296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23306853},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15621561},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13261491},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.12390664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11540744},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2018.8448796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","score":0.48,"id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":34,"referenced_works":["https://openalex.org/W1603544686","https://openalex.org/W1989471337","https://openalex.org/W1993235647","https://openalex.org/W2004140730","https://openalex.org/W2010080563","https://openalex.org/W2011594914","https://openalex.org/W2014787937","https://openalex.org/W2020324514","https://openalex.org/W2030178502","https://openalex.org/W203621750","https://openalex.org/W2050563854","https://openalex.org/W2060108923","https://openalex.org/W2077969890","https://openalex.org/W2091365726","https://openalex.org/W2117678320","https://openalex.org/W2124993522","https://openalex.org/W2129281431","https://openalex.org/W2129570991","https://openalex.org/W2133124221","https://openalex.org/W2137585588","https://openalex.org/W2149900846","https://openalex.org/W2156385851","https://openalex.org/W2166547995","https://openalex.org/W2168573944","https://openalex.org/W2174451236","https://openalex.org/W2175910180","https://openalex.org/W2394627318","https://openalex.org/W2499889492","https://openalex.org/W2563819694","https://openalex.org/W2964064111","https://openalex.org/W3124056356","https://openalex.org/W3145630061","https://openalex.org/W3150724529","https://openalex.org/W4238095360"],"related_works":["https://openalex.org/W3107813721","https://openalex.org/W2599854282","https://openalex.org/W2384817464","https://openalex.org/W2315098011","https://openalex.org/W2157189868","https://openalex.org/W2135812553","https://openalex.org/W2114570682","https://openalex.org/W2017913521","https://openalex.org/W1964845213","https://openalex.org/W1829519498"],"abstract_inverted_index":{"We":[0,143],"propose":[1],"an":[2,17,155],"approach":[3],"for":[4,36,53,86],"tracking":[5,87,135,148],"a":[6,54,72,126,149],"varying":[7,150],"number":[8,151],"of":[9,24,33,75,105,117,131,134,152],"simultaneously":[10],"active":[11],"acoustic":[12,18,137],"wideband":[13,136],"signal":[14],"sources":[15,35,138],"in":[16,154],"enclosure.":[19],"Relying":[20],"on":[21],"the":[22,27,34,37,64,76,79,88,114,132,145,159],"assumption":[23],"W-disjoint":[25],"orthogonality,":[26],"method":[28],"uses":[29],"narrowband":[30,140],"position":[31,41,65,141],"estimates":[32,42,66],"targets.":[38,89],"The":[39],"instantaneous":[40],"form":[43,74],"clusters":[44],"rather":[45],"than":[46],"single":[47],"points,":[48],"as":[49,67],"would":[50],"be":[51],"required":[52],"conventional":[55],"Probability":[56],"Hypothesis":[57],"Density":[58],"(PHD)":[59],"filter.":[60],"Therefore,":[61],"we":[62,124],"model":[63,93,110],"extended":[68,80],"targets":[69,153],"and":[70,96,103,111],"use":[71],"special":[73],"PHD":[77,84],"filter,":[78,85],"target":[81,94],"Gaussian":[82],"mixture":[83],"This":[90],"allows":[91],"to":[92,100],"birth":[95],"death,":[97],"which":[98],"correspond":[99],"speech":[101],"onset":[102],"end":[104],"utterance,":[106],"respectively.":[107],"With":[108],"this":[109],"by":[112,147],"using":[113,139],"well-developed":[115],"theory":[116],"Finite":[118],"Set":[119],"Statistics":[120],"(FISST)-based":[121],"multi-target":[122],"tracking,":[123],"provide":[125],"comprehensive,":[127],"strictly":[128],"Bayesian":[129],"treatment":[130],"problem":[133],"estimates.":[142],"validate":[144],"results":[146],"enclosure":[156],"simulated":[157],"with":[158],"image-source":[160],"method.":[161]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2889353857","counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-11T21:19:30.488516","created_date":"2018-09-07"}