{"id":"https://openalex.org/W2883024703","doi":"https://doi.org/10.23919/eusipco.2018.8553197","title":"A Compressed Encoding Scheme for Approximate Tdoa Estimation","display_name":"A Compressed Encoding Scheme for Approximate Tdoa Estimation","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2883024703","doi":"https://doi.org/10.23919/eusipco.2018.8553197","mag":"2883024703"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553197","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/4c1ab645-4ba0-455d-8cef-e7d1f89c75d5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072511175","display_name":"Elizabeth Vargas","orcid":"https://orcid.org/0000-0002-4094-3631"},"institutions":[{"id":"https://openalex.org/I4210090800","display_name":"Sensors (United States)","ror":"https://ror.org/00b4mz884","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Elizabeth Vargas","raw_affiliation_strings":["Institute of Sensors, Signals and Systems, Heriot-Watt University"],"affiliations":[{"raw_affiliation_string":"Institute of Sensors, Signals and Systems, Heriot-Watt University","institution_ids":["https://openalex.org/I4210090800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016434897","display_name":"James R. Hopgood","orcid":"https://orcid.org/0000-0002-3029-2425"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James R. Hopgood","raw_affiliation_strings":["Institute for Digital Communications, University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030504110","display_name":"Keith Brown","orcid":"https://orcid.org/0000-0001-6836-1572"},"institutions":[{"id":"https://openalex.org/I4210090800","display_name":"Sensors (United States)","ror":"https://ror.org/00b4mz884","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keith Brown","raw_affiliation_strings":["Institute of Sensors, Signals and Systems, Heriot-Watt University"],"affiliations":[{"raw_affiliation_string":"Institute of Sensors, Signals and Systems, Heriot-Watt University","institution_ids":["https://openalex.org/I4210090800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086009008","display_name":"Kartic Subr","orcid":"https://orcid.org/0000-0002-7302-4383"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kartic Subr","raw_affiliation_strings":["Institute of Perception, Action and Behaviour, University of Edinburgh Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Institute of Perception, Action and Behaviour, University of Edinburgh Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072511175"],"corresponding_institution_ids":["https://openalex.org/I4210090800"],"apc_list":null,"apc_paid":null,"fwci":0.2448,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62037376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"346","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9994999766349792,"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":0.9993000030517578,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/reverberation","display_name":"Reverberation","score":0.7252660989761353},{"id":"https://openalex.org/keywords/multilateration","display_name":"Multilateration","score":0.7213343381881714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7005535960197449},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6724451780319214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5371080040931702},{"id":"https://openalex.org/keywords/acoustic-source-localization","display_name":"Acoustic source localization","score":0.46559345722198486},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44766849279403687},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4475206732749939},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4435201585292816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44141456484794617},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3974666893482208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3724619746208191},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3473135530948639},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17598170042037964},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11823266744613647},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08557870984077454}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.7252660989761353},{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.7213343381881714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005535960197449},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6724451780319214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5371080040931702},{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.46559345722198486},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44766849279403687},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4475206732749939},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4435201585292816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44141456484794617},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3974666893482208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3724619746208191},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3473135530948639},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17598170042037964},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11823266744613647},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08557870984077454},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.0},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/eusipco.2018.8553197","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/4c1ab645-4ba0-455d-8cef-e7d1f89c75d5","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/4c1ab645-4ba0-455d-8cef-e7d1f89c75d5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vargas, E, Hopgood, J, Brown, K & Subr, K 2018, A compressed encoding scheme for approximate TDOA estimation. in European Signal Processing Conference : EUSIPCO 2018.","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/4c1ab645-4ba0-455d-8cef-e7d1f89c75d5","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/4c1ab645-4ba0-455d-8cef-e7d1f89c75d5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/4c1ab645-4ba0-455d-8cef-e7d1f89c75d5","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/4c1ab645-4ba0-455d-8cef-e7d1f89c75d5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vargas, E, Hopgood, J, Brown, K & Subr, K 2018, A compressed encoding scheme for approximate TDOA estimation. in European Signal Processing Conference : EUSIPCO 2018.","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1542991986","https://openalex.org/W1990814298","https://openalex.org/W1999999865","https://openalex.org/W2026609075","https://openalex.org/W2049179961","https://openalex.org/W2056018124","https://openalex.org/W2061074721","https://openalex.org/W2061242113","https://openalex.org/W2063708263","https://openalex.org/W2067584370","https://openalex.org/W2089351822","https://openalex.org/W2104160358","https://openalex.org/W2124386111","https://openalex.org/W2151923869","https://openalex.org/W2171533994","https://openalex.org/W2303094609","https://openalex.org/W2334757619","https://openalex.org/W2591585136","https://openalex.org/W2953702648","https://openalex.org/W3021908862","https://openalex.org/W3127686677","https://openalex.org/W3140335548","https://openalex.org/W6604987197","https://openalex.org/W6675771058","https://openalex.org/W6764250265","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W4319862450","https://openalex.org/W4386900535","https://openalex.org/W2288274698","https://openalex.org/W4385361701","https://openalex.org/W2068968550","https://openalex.org/W2770231486","https://openalex.org/W2187684650","https://openalex.org/W2159296145","https://openalex.org/W2218753925","https://openalex.org/W2535957982"],"abstract_inverted_index":{"Accurate":[0],"estimation":[1],"of":[2,4,51,138,154],"Time-Difference":[3,137],"Arrivals":[5,139],"(TDOAs)":[6,140],"is":[7,64],"necessary":[8],"to":[9,33,60],"perform":[10,96],"accurate":[11],"sound":[12],"source":[13,128,143],"localization.":[14],"The":[15],"problem":[16,42],"has":[17],"traditionally":[18],"been":[19],"solved":[20],"by":[21,76],"using":[22,101,123],"methods":[23],"such":[24,66],"as":[25,67],"Generalized":[26],"Cross-Correlation,":[27],"which":[28,48],"uses":[29],"the":[30,49,92,99,103,142],"entire":[31],"signal":[32,93,100],"accurately":[34],"estimate":[35,136],"TDOAs.":[36],"However,":[37],"this":[38,82],"could":[39],"pose":[40],"a":[41,61,151],"in":[43,47,68,81,91,114],"distributed":[44],"sensor":[45,59],"networks":[46],"amount":[50],"data":[52],"that":[53,132],"can":[54,135],"be":[55],"transmitted":[56],"from":[57,78],"each":[58],"fusion":[62],"center":[63],"limited,":[65],"underwater":[69],"scenarios":[70,115],"or":[71],"other":[72],"challenging":[73],"environments.":[74],"Inspired":[75],"approaches":[77],"computer":[79],"vision,":[80],"paper":[83],"we":[84],"identify":[85],"Scale-Invariant":[86],"Feature":[87],"Transform":[88],"(SIFT)":[89],"keypoints":[90],"spectrogram.":[94],"We":[95,110,130],"crosscorrelation":[97],"on":[98],"only":[102],"information":[104],"available":[105],"at":[106,150],"those":[107],"extracted":[108],"keypoints.":[109],"test":[111],"our":[112,133],"algorithm":[113,134],"featuring":[116],"different":[117,124],"noise":[118],"and":[119,122,127,141],"reverberation":[120],"conditions,":[121],"speech":[125],"signals":[126],"locations.":[129],"show":[131],"location":[144],"within":[145],"an":[146],"acceptable":[147],"error":[148],"range":[149],"compression":[152],"ratio":[153],"40:":[155],"1.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}