乐胖代购免代理版

{"id":"https://openalex.org/W1973383303","doi":"https://doi.org/10.1049/iet-spr.2011.0015","title":"Reducing permutation error in subband-based convolutive blind separation","display_name":"Reducing permutation error in subband-based convolutive blind separation","publication_year":2012,"publication_date":"2012-02-03","ids":{"openalex":"https://openalex.org/W1973383303","doi":"https://doi.org/10.1049/iet-spr.2011.0015","mag":"1973383303"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1049/iet-spr.2011.0015","pdf_url":null,"source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5046723172","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0003-0416-9076"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"B. Peng","raw_affiliation_strings":["Communications Research Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 3JD, UK"],"affiliations":[{"raw_affiliation_string":"Communications Research Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 3JD, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062908102","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-2968-2888"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"W. Liu","raw_affiliation_strings":["Communications Research Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 3JD, UK"],"affiliations":[{"raw_affiliation_string":"Communications Research Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 3JD, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"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":"D.P. Mandic","raw_affiliation_strings":["Communications and Signal Processing Research Group, Department of Electrical and Electronic Engineering, Imperial College London London, UK."],"affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Research Group, Department of Electrical and Electronic Engineering, Imperial College London London, UK.","institution_ids":["https://openalex.org/I47508984"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2000,"currency":"EUR","value_usd":2200,"provenance":"doaj"},"apc_paid":null,"fwci":0.998,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.645679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":81},"biblio":{"volume":"6","issue":"1","first_page":"34","last_page":"44"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9923,"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":0.9824,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.48459375},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.41929382}],"concepts":[{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.8261475},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7079632},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.54239464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.51187813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5042368},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.48459375},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.48338547},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46876594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4639454},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.41929382},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.41909784},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3412431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33732826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3287529},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14558285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07027516},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06716147},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1049/iet-spr.2011.0015","pdf_url":null,"source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1489793438","https://openalex.org/W1548802052","https://openalex.org/W1967043038","https://openalex.org/W1968524968","https://openalex.org/W1978280156","https://openalex.org/W2027884847","https://openalex.org/W2028838544","https://openalex.org/W2036946259","https://openalex.org/W2057328188","https://openalex.org/W2075633727","https://openalex.org/W2095754348","https://openalex.org/W2104994032","https://openalex.org/W2107570138","https://openalex.org/W2108384452","https://openalex.org/W2114461480","https://openalex.org/W2116766578","https://openalex.org/W2128617845","https://openalex.org/W2131436045","https://openalex.org/W2133069808","https://openalex.org/W2133552410","https://openalex.org/W2138467340","https://openalex.org/W2152077159","https://openalex.org/W2152355934","https://openalex.org/W2165884334","https://openalex.org/W2170819615","https://openalex.org/W3031363333","https://openalex.org/W4205778870","https://openalex.org/W4247988071"],"related_works":["https://openalex.org/W4385400511","https://openalex.org/W2507906577","https://openalex.org/W2380800094","https://openalex.org/W2166132814","https://openalex.org/W2162206208","https://openalex.org/W2077508419","https://openalex.org/W2056203905","https://openalex.org/W2023660371","https://openalex.org/W2021333301","https://openalex.org/W2006114390"],"abstract_inverted_index":{"Subband-based":[0],"blind":[1],"source":[2],"separation":[3,94],"has":[4,88],"great":[5],"potential":[6],"in":[7],"solving":[8],"the":[9,21,26,35,39,75],"complicated":[10],"convolutive":[11],"mixing":[12],"problem.":[13],"However,":[14],"its":[15],"performance":[16],"is":[17,52,63],"largely":[18],"affected":[19],"by":[20,37],"permutation":[22,36,50,85],"ambiguity":[23],"problem":[24,51],"during":[25],"synthesis":[27],"stage.":[28],"Researchers":[29],"have":[30],"suggested":[31],"methods":[32],"to":[33,48,92],"correct":[34],"exploiting":[38],"correlation":[40,71],"information":[41],"between":[42],"adjacent":[43],"frequencies/subbands.":[44],"An":[45],"improved":[46,93],"solution":[47],"this":[49],"proposed":[53],"based":[54,64],"on":[55,65],"a":[56,66,82],"novel":[57],"filter":[58],"banks":[59],"design":[60],"method,":[61],"which":[62],"model":[67],"that":[68,81],"includes":[69],"inter-subband":[70],"as":[72],"part":[73],"of":[74],"optimisation":[76],"criterion.":[77],"Simulation":[78],"results":[79],"show":[80],"better":[83],"subband":[84],"alignment":[86],"result":[87],"been":[89],"achieved,":[90],"leading":[91],"performance.":[95]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1973383303","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2024-12-07T09:01:39.345843","created_date":"2016-06-24"}