{"id":"https://openalex.org/W2074006820","doi":"https://doi.org/10.1109/icassp.2013.6638882","title":"A new minimum-consensus distributed particle filter for blind equalization in receiver networks","display_name":"A new minimum-consensus distributed particle filter for blind equalization in receiver networks","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2074006820","doi":"https://doi.org/10.1109/icassp.2013.6638882","mag":"2074006820"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"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/A5066331505","display_name":"Claudio J. Bordin","orcid":"https://orcid.org/0000-0002-7016-5922"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudio J. Bordin","raw_affiliation_strings":["Universidade Federal do ABC, Brazil","Univ. Fed. do ABC, Santo Andre, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do ABC, Brazil","institution_ids":["https://openalex.org/I71715416"]},{"raw_affiliation_string":"Univ. Fed. do ABC, Santo Andre, Brazil","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018888863","display_name":"Marcelo G. S. Bruno","orcid":"https://orcid.org/0000-0003-2269-4018"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo G. S. Bruno","raw_affiliation_strings":["Instituto Tecnol\u00f3gico de Aeron\u00e1utica, Brazil","Inst. Tecnol. de Aeronaut., Sa\u0303o Jose\u0301 dos Campos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica, Brazil","institution_ids":["https://openalex.org/I107428990"]},{"raw_affiliation_string":"Inst. Tecnol. de Aeronaut., Sa\u0303o Jose\u0301 dos Campos, Brazil","institution_ids":["https://openalex.org/I107428990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2883,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8084873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"6323","last_page":"6326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9969000220298767,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9966999888420105,"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/particle-filter","display_name":"Particle filter","score":0.7664700746536255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6963702440261841},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.6904423236846924},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6789942979812622},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.5783398151397705},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5599048733711243},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5532552003860474},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5130099654197693},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.5056681632995605},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4361240863800049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21304729580879211},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17321494221687317},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07234898209571838}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7664700746536255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6963702440261841},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.6904423236846924},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6789942979812622},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.5783398151397705},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5599048733711243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5532552003860474},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5130099654197693},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.5056681632995605},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4361240863800049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21304729580879211},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17321494221687317},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07234898209571838},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1992200270","https://openalex.org/W2074796812","https://openalex.org/W2097738129","https://openalex.org/W2099335010","https://openalex.org/W2099720918","https://openalex.org/W2105906326","https://openalex.org/W2121627906","https://openalex.org/W2130442323","https://openalex.org/W2137535742","https://openalex.org/W2317912355"],"related_works":["https://openalex.org/W2545553786","https://openalex.org/W2349154090","https://openalex.org/W2993703512","https://openalex.org/W2133621247","https://openalex.org/W2186363603","https://openalex.org/W2384751807","https://openalex.org/W2118910124","https://openalex.org/W2381494073","https://openalex.org/W2100151641","https://openalex.org/W2384320280"],"abstract_inverted_index":{"We":[0,57],"describe":[1],"in":[2,18,49],"this":[3],"paper":[4],"a":[5,19,22,38,50,67],"novel":[6],"distributed":[7],"particle":[8],"filtering":[9],"algorithm":[10,29,65],"that":[11,62,75,86],"performs":[12],"blind":[13],"equalization":[14],"of":[15,55,76,87],"frequency-selective":[16],"channels":[17],"setup":[20],"with":[21,81],"single":[23],"transmitter":[24],"and":[25],"multiple":[26],"receivers.":[27],"The":[28],"employs":[30],"parallel":[31],"minimum":[32],"consensus":[33],"iterations":[34],"to":[35,74,97],"determine":[36],"some":[37],"posteriori":[39],"probability":[40],"functions,":[41],"providing":[42],"equal":[43],"approximations":[44],"on":[45],"all":[46],"network":[47],"nodes":[48],"finite,":[51],"deterministic,":[52],"network-dependent":[53],"number":[54],"steps.":[56],"verify":[58],"via":[59,100],"computer":[60],"simulations":[61],"the":[63,77,91,95],"new":[64,92],"exhibits":[66],"bit":[68],"error":[69],"rate":[70],"(BER)":[71],"performance":[72],"similar":[73],"centralized":[78],"particle-filter":[79],"estimator":[80],"communication":[82],"requirements":[83],"milder":[84],"than":[85],"previous":[88],"approaches,":[89],"as":[90],"method":[93],"drops":[94],"need":[96],"evaluate":[98],"quantities":[99],"average":[101],"consensus.":[102]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}