{"id":"https://openalex.org/W2215272515","doi":"https://doi.org/10.1109/eusipco.2015.7362772","title":"Distributed rao-blackwellized point mass filter for blind equalization in receiver networks","display_name":"Distributed rao-blackwellized point mass filter for blind equalization in receiver networks","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2215272515","doi":"https://doi.org/10.1109/eusipco.2015.7362772","mag":"2215272515"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do ABC","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","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":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1184657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"148","issue":null,"first_page":"2186","last_page":"2190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962000250816345,"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":0.9824000000953674,"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/blind-equalization","display_name":"Blind equalization","score":0.7000296115875244},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6828864812850952},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6611445546150208},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.6316450834274292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.600342333316803},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5802591443061829},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5165709257125854},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49112388491630554},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48764052987098694},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47419649362564087},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45060113072395325},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42171066999435425},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4194347560405731},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4139918386936188},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2884238362312317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2869473695755005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24069178104400635},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09791281819343567}],"concepts":[{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.7000296115875244},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6828864812850952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6611445546150208},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.6316450834274292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600342333316803},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5802591443061829},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5165709257125854},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49112388491630554},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48764052987098694},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47419649362564087},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45060113072395325},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42171066999435425},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4194347560405731},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4139918386936188},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2884238362312317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2869473695755005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24069178104400635},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09791281819343567},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2015.7362772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1503003940","https://openalex.org/W1549918646","https://openalex.org/W1963545391","https://openalex.org/W1966847343","https://openalex.org/W1972875288","https://openalex.org/W1992200270","https://openalex.org/W1992569339","https://openalex.org/W2009331766","https://openalex.org/W2050386482","https://openalex.org/W2067334866","https://openalex.org/W2085799789","https://openalex.org/W2108288396","https://openalex.org/W2128198741","https://openalex.org/W2130442323","https://openalex.org/W3143528639","https://openalex.org/W6676085441"],"related_works":["https://openalex.org/W2545553786","https://openalex.org/W2349154090","https://openalex.org/W2993703512","https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W2133621247","https://openalex.org/W2186363603","https://openalex.org/W2384751807","https://openalex.org/W2118910124","https://openalex.org/W2381494073"],"abstract_inverted_index":{"We":[0],"describe":[1],"new":[2],"Bayesian":[3],"algorithms":[4,32,96,100],"for":[5],"cooperative":[6],"blind":[7],"equalization":[8],"in":[9,12],"a":[10,18,65,77],"network":[11],"which":[13,75],"the":[14,42,46,94],"signal":[15],"broadcast":[16],"by":[17,23,50,64],"single":[19,78],"transmitter":[20],"is":[21,85],"received":[22],"multiple":[24],"remote":[25,83],"nodes":[26],"through":[27],"distinct":[28],"frequency-selective":[29],"channels.":[30],"The":[31],"are":[33,62],"based":[34],"on":[35],"Rao-Blackwellized":[36],"point":[37],"mass":[38],"filters,":[39],"and":[40],"approximate":[41],"posterior":[43],"densities":[44],"of":[45,53,68,81],"unknown":[47],"channel":[48],"parameters":[49],"Gaussian":[51],"mixtures":[52,61],"fixed":[54],"order.":[55],"To":[56],"keep":[57],"computations":[58],"treatable,":[59],"density":[60],"reduced":[63,72],"modified":[66],"version":[67],"West's":[69],"algorithm.":[70],"A":[71],"complexity":[73],"approach":[74],"employs":[76],"mode":[79],"approximation":[80],"some":[82],"quantities":[84],"also":[86],"considered.":[87],"Via":[88],"numerical":[89],"simulations,":[90],"we":[91],"verify":[92],"that":[93],"proposed":[95],"outperform":[97],"certain":[98],"particle-filtering-based":[99],"with":[101],"comparable":[102],"communication":[103],"loads.":[104]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}