{"id":"https://openalex.org/W1980608987","doi":"https://doi.org/10.1109/icassp.2014.6855155","title":"Distributed particle filtering for blind equalization in receiver networks using marginal non-parametric approximations","display_name":"Distributed particle filtering for blind equalization in receiver networks using marginal non-parametric approximations","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1980608987","doi":"https://doi.org/10.1109/icassp.2014.6855155","mag":"1980608987"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6855155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":["UFABC","UFABC, Santo Andr\u00e9, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFABC","institution_ids":["https://openalex.org/I71715416"]},{"raw_affiliation_string":"UFABC, Santo Andr\u00e9, 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","Inst. Tecnol. de Aeronaut., Sao Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","institution_ids":["https://openalex.org/I107428990"]},{"raw_affiliation_string":"Inst. Tecnol. de Aeronaut., Sao Paulo, 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":1.1794,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78075233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7984","last_page":"7987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T11447","display_name":"Blind Source Separation Techniques","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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.748871922492981},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.7171873450279236},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7165884971618652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6463242173194885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6256625652313232},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.6016319394111633},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.5384803414344788},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.4847259521484375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24514856934547424},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.199468195438385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14408192038536072},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.0956830382347107},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08748570084571838},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08329740166664124}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.748871922492981},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.7171873450279236},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7165884971618652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6463242173194885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6256625652313232},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.6016319394111633},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.5384803414344788},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.4847259521484375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24514856934547424},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.199468195438385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14408192038536072},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0956830382347107},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08748570084571838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08329740166664124},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6855155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.974.1069","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.974.1069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p8034-bordin.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1989770234","https://openalex.org/W1992200270","https://openalex.org/W2050386482","https://openalex.org/W2074006820","https://openalex.org/W2105906326","https://openalex.org/W2130442323"],"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/W5068284","https://openalex.org/W2100151641"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,17,20],"novel":[4],"distributed":[5,79],"particle":[6],"filtering":[7],"algorithms":[8,55],"for":[9],"the":[10,53],"blind":[11],"equalization":[12],"of":[13,34,66,77],"frequency-selective":[14],"channels":[15],"in":[16],"setup":[18],"where":[19],"single":[21],"transmitter":[22],"broadcasts":[23],"to":[24,64,75],"multiple":[25],"remote":[26],"receivers.":[27],"The":[28],"algorithm":[29],"computes":[30],"particle-independent":[31],"non-parametric":[32],"approximations":[33],"some":[35],"posterior":[36],"probability":[37],"functions,":[38],"which":[39],"are":[40],"propagated":[41],"between":[42],"nodes":[43],"via":[44,49],"minimum-consensus":[45],"iterations.":[46],"We":[47],"verify":[48],"numerical":[50],"simulations":[51],"that":[52,65,76],"proposed":[54],"exhibit":[56],"bit":[57],"error":[58],"rate":[59],"(BER)":[60],"performances":[61],"markedly":[62],"superior":[63],"particle-filtering-based":[67],"isolated":[68],"receivers":[69],"with":[70],"communication":[71],"requirements":[72],"far":[73],"inferior":[74],"previous":[78],"algorithms.":[80]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
