乐胖代购免代理版

{"id":"https://openalex.org/W1972705698","doi":"https://doi.org/10.1109/iwaenc.2014.6953350","title":"Statistical modelling of multichannel blind system identification errors","display_name":"Statistical modelling of multichannel blind system identification errors","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1972705698","doi":"https://doi.org/10.1109/iwaenc.2014.6953350","mag":"1972705698"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/iwaenc.2014.6953350","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6953350","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6953350","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008147916","display_name":"Felicia S. C. Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Felicia Lim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London, Uk"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, Uk","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016227729","display_name":"Patrick A. Naylor","orcid":"https://orcid.org/0000-0001-8546-8013"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Patrick A. Naylor","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London, Uk"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, Uk","institution_ids":["https://openalex.org/I47508984"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.062,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.582983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"123"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9999,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9999,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9961,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9951,"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/identification","display_name":"Identification","score":0.5715833},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian Noise","score":0.48846474},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.4210896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63467443},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.62279946},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5715833},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5634077},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.56185347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.51556754},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.503822},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.48846474},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47286913},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.46176758},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42263776},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4221475},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.4210896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4205085},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30453897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08136737},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/iwaenc.2014.6953350","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6953350","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/iwaenc.2014.6953350","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6953350","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","score":0.41,"id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W190060899","https://openalex.org/W2001402966","https://openalex.org/W2042682033","https://openalex.org/W2045043668","https://openalex.org/W2068664532","https://openalex.org/W2107757493","https://openalex.org/W2110097273","https://openalex.org/W2117678320","https://openalex.org/W2122807474","https://openalex.org/W2135271517","https://openalex.org/W2135817141","https://openalex.org/W2142563647","https://openalex.org/W2148552223","https://openalex.org/W2165432241","https://openalex.org/W2166481425","https://openalex.org/W2168175751","https://openalex.org/W2169755932","https://openalex.org/W2594639291","https://openalex.org/W4211049957","https://openalex.org/W4255375128","https://openalex.org/W4296927107"],"related_works":["https://openalex.org/W3103566292","https://openalex.org/W2810224748","https://openalex.org/W2353656796","https://openalex.org/W2130974430","https://openalex.org/W2074565401","https://openalex.org/W2011915004","https://openalex.org/W1974392290","https://openalex.org/W1967187784","https://openalex.org/W1911817635","https://openalex.org/W1607924090"],"abstract_inverted_index":{"It":[0],"is":[1,39,55,82,103,117],"well":[2],"known":[3],"that":[4,17,122,128],"blind":[5,32],"system":[6,33],"identification":[7,34],"(BSI)":[8],"algorithms":[9],"misconverge":[10],"in":[11,46,110],"the":[12,47,61,111,123,134],"presence":[13],"of":[14,44,63],"noise":[15,53],"and":[16,49,75,90,115],"applications":[18],"relying":[19],"on":[20,66,85,98],"such":[21],"channel":[22],"estimates":[23],"must":[24],"be":[25,28],"designed":[26],"to":[27,30,133],"robust":[29,68],"these":[31],"errors":[35],"(BSIEs).":[36],"However,":[37],"there":[38],"currently":[40],"no":[41],"generalized":[42],"model":[43,81,100,125],"BSIEs":[45,64,96,127],"literature":[48,112],"instead,":[50],"white":[51],"Gaussian":[52,86],"(WGN)":[54],"commonly":[56],"assumed.":[57],"This":[58],"paper":[59],"investigates":[60],"statistics":[62],"based":[65,84,97],"a":[67,91],"state-of-the-art":[69],"BSI":[70],"algorithm":[71],"using":[72],"both":[73],"simulated":[74],"real":[76],"impulse":[77],"responses.":[78],"A":[79],"BSIE":[80],"proposed":[83,124],"mixture":[87],"models":[88],"(GMMs)":[89],"method":[92],"for":[93,101],"generating":[94],"artificial":[95],"this":[99],"simulations":[102],"given.":[104],"Comparisons":[105],"against":[106],"alternative":[107],"assumptions":[108],"used":[109],"are":[113,129],"given":[114],"it":[116],"shown":[118],"through":[119],"experimental":[120],"results":[121],"gives":[126],"most":[130],"statistically":[131],"similar":[132],"ground":[135],"truth.":[136]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1972705698","counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2024-12-08T18:35:20.904395","created_date":"2016-06-24"}