乐胖代购免代理版

{"id":"https://openalex.org/W4230806803","doi":"https://doi.org/10.1109/waspaa52581.2021.9632774","title":"Low-Complexity Steered Response Power Mapping Based on Nyquist-Shannon Sampling","display_name":"Low-Complexity Steered Response Power Mapping Based on Nyquist-Shannon Sampling","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W4230806803","doi":"https://doi.org/10.1109/waspaa52581.2021.9632774"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa52581.2021.9632774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2012.09499","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090511186","display_name":"Thomas Dietzen","orcid":"https://orcid.org/0000-0002-8924-4962"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Thomas Dietzen","raw_affiliation_strings":["KU Leuven, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080242003","display_name":"Enzo De Sena","orcid":"https://orcid.org/0000-0002-8007-4370"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Enzo De Sena","raw_affiliation_strings":["University of Surrey, Institute of Sound Recording, Guildford, UK"],"affiliations":[{"raw_affiliation_string":"University of Surrey, Institute of Sound Recording, Guildford, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073284331","display_name":"Toon van Waterschoot","orcid":"https://orcid.org/0000-0002-6323-7350"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Toon van Waterschoot","raw_affiliation_strings":["KU Leuven, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":12,"citation_normalized_percentile":{"value":0.917297,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"210"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9983,"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/T11309","display_name":"Music and Audio Processing","score":0.9974,"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/bandlimiting","display_name":"Bandlimiting","score":0.6689132},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.66555977},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.5516221},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation","score":0.52973807}],"concepts":[{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.6689132},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.66555977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6140062},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.5516221},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.52973807},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.52264094},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4845673},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46318933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45148686},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.45054823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.449863},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.44943982},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4459468},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32550418},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18382517},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.15855148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1231105},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08854875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08398777},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.081923455},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa52581.2021.9632774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.09499","pdf_url":"http://arxiv.org/pdf/2012.09499","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/682980","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/682980/2/21_103.pdf","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":["KU Leuven"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"https://openresearch.surrey.ac.uk/view/delivery/44SUR_INST/12151389320002346/13152279840002346","pdf_url":"https://openresearch.surrey.ac.uk/view/delivery/44SUR_INST/12151389320002346/13152279840002346","source":{"id":"https://openalex.org/S4306402651","display_name":"Surrey Open Research repository (University of Surrey)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":["University of Surrey"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.09499","pdf_url":"http://arxiv.org/pdf/2012.09499","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W126779258","https://openalex.org/W1476210933","https://openalex.org/W1515932869","https://openalex.org/W1991032800","https://openalex.org/W2008750120","https://openalex.org/W2046317813","https://openalex.org/W2061074721","https://openalex.org/W2078976049","https://openalex.org/W2089586791","https://openalex.org/W2095933505","https://openalex.org/W2114219351","https://openalex.org/W2122077079","https://openalex.org/W2130357996","https://openalex.org/W2137185369","https://openalex.org/W2137867936","https://openalex.org/W2159229958","https://openalex.org/W2164602770","https://openalex.org/W2963058659","https://openalex.org/W3102017021","https://openalex.org/W658204242","https://openalex.org/W79982134"],"related_works":["https://openalex.org/W3081412337","https://openalex.org/W2788446302","https://openalex.org/W2170014524","https://openalex.org/W2153002160","https://openalex.org/W2125529598","https://openalex.org/W2081608853","https://openalex.org/W2071732377","https://openalex.org/W1549176107","https://openalex.org/W1500996803","https://openalex.org/W1421666895"],"abstract_inverted_index":{"The":[0],"steered":[1,25],"response":[2],"power":[3,21],"(SRP)":[4],"approach":[5,87],"to":[6,47,56],"acoustic":[7,15],"source":[8],"localization":[9,180],"computes":[10],"a":[11,23,27,75,84,155,162],"map":[12,128],"of":[13,22,29,39,52,60,64,100,136,142,148,158],"the":[14,18,48,57,95,98,108,111,118,126,134,146,168],"scene":[16],"from":[17],"frequency-weighted":[19],"output":[20],"beamformer":[24],"towards":[26],"set":[28],"candidate":[30,49,61,149],"locations.":[31],"Equivalently,":[32],"SRP":[33,73,86,127,173],"may":[34],"be":[35,140],"expressed":[36],"in":[37],"terms":[38],"time-domain":[40],"generalized":[41],"cross-correlations":[42],"(GCCs)":[43],"at":[44,161],"lags":[45],"equal":[46,179],"locations'":[50],"time-differences":[51],"arrival":[53],"(TDOAs).":[54],"Due":[55],"dense":[58],"grid":[59],"locations,":[62],"each":[63],"which":[65],"requires":[66],"inverse":[67],"Fourier":[68],"transform":[69],"(IFT)":[70],"evaluations,":[71],"conventional":[72,172],"exhibits":[74],"high":[76],"computational":[77],"complexity.":[78],"In":[79,131],"this":[80],"paper,":[81],"we":[82,115],"propose":[83],"low-complexity":[85],"based":[88],"on":[89,94,107],"Nyquist-Shannon":[90],"sampling.":[91],"Noting":[92],"that":[93],"one":[96],"hand":[97,110],"range":[99],"possible":[101],"TDOAs":[102],"is":[103],"physically":[104],"bounded,":[105],"while":[106],"other":[109],"GCCs":[112,119],"are":[113,186],"bandlimited,":[114],"critically":[116],"sample":[117,137],"around":[120],"their":[121],"TDOA":[122],"interval":[123],"and":[124,151,178,183],"approximate":[125],"by":[129],"interpolation.":[130],"usual":[132],"setups,":[133],"number":[135,147],"points":[138],"can":[139],"orders":[141],"magnitude":[143],"less":[144],"than":[145],"locations":[150],"frequency":[152],"bins,":[153],"yielding":[154],"significant":[156],"reduction":[157],"IFT":[159],"computations":[160],"limited":[163],"interpolation":[164],"cost.":[165],"Simulations":[166],"comparing":[167],"proposed":[169],"approximation":[170,176],"with":[171],"indicate":[174],"low":[175],"errors":[177],"performance.":[181],"MATLAB":[182],"Python":[184],"implementations":[185],"available":[187],"online.":[188]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4230806803","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2025-01-06T04:14:56.963289","created_date":"2022-05-11"}