{"id":"https://openalex.org/W2166918574","doi":"https://doi.org/10.1109/icassp.2006.1661004","title":"Particle Filters for Blind FIR Channel Equalization in Non-Gaussian Noise","display_name":"Particle Filters for Blind FIR Channel Equalization in Non-Gaussian Noise","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2166918574","doi":"https://doi.org/10.1109/icassp.2006.1661004","mag":"2166918574"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1661004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"C.J. Bordin","raw_affiliation_strings":["Escola Polit\u00e9cnica, Universidade de S\u00e1o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica, Universidade de S\u00e1o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058812347","display_name":"Luiz Antonio Baccal\u00e1","orcid":"https://orcid.org/0000-0002-2668-6747"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L.A. Baccala","raw_affiliation_strings":["Escola Polit\u00e9cnica, Universidade de S\u00e1o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica, Universidade de S\u00e1o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.6466,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70853357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"IV","last_page":"457"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980999827384949,"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":0.9948999881744385,"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":0.6818755269050598},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.6087128520011902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5971383452415466},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5932829976081848},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.5857096910476685},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5495815873146057},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5248059034347534},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5233953595161438},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5003161430358887},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47851717472076416},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.4780757427215576},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4032386541366577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25812143087387085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25413501262664795},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18121907114982605},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15039631724357605},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12362965941429138},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1000237762928009}],"concepts":[{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.6818755269050598},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.6087128520011902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5971383452415466},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5932829976081848},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.5857096910476685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5495815873146057},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5248059034347534},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5233953595161438},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5003161430358887},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47851717472076416},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.4780757427215576},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4032386541366577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25812143087387085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25413501262664795},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18121907114982605},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15039631724357605},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12362965941429138},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1000237762928009},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/icassp.2006.1661004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W2051910219","https://openalex.org/W2085738358","https://openalex.org/W2116680323","https://openalex.org/W2138055083","https://openalex.org/W2140878181","https://openalex.org/W2148613679","https://openalex.org/W2162733643","https://openalex.org/W2294875987","https://openalex.org/W4241181106","https://openalex.org/W4242705211","https://openalex.org/W4255133955"],"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":{"In":[0],"this":[1],"work,":[2],"we":[3,50],"propose":[4],"new":[5,53],"particle":[6],"filter":[7],"based":[8],"blind":[9],"equalization":[10],"algorithms":[11,23],"for":[12],"FIR":[13],"channels":[14],"subject":[15],"to":[16,28,58,63,88],"additive":[17],"noise":[18,75],"of":[19,81],"arbitrary":[20],"distributions.":[21],"These":[22],"employ":[24],"artificial":[25],"evolution":[26],"methods":[27],"jointly":[29],"generate":[30],"samples":[31],"from":[32,37],"the":[33,38,79,82],"missing":[34],"data":[35],"and":[36],"unknown":[39],"channel":[40],"parameters,":[41],"which":[42,56,78],"are":[43],"assumed":[44],"time-invariant.":[45],"To":[46],"achieve":[47],"these":[48],"results":[49],"introduce":[51],"a":[52,89],"importance":[54],"function,":[55],"leads":[57],"greatly":[59],"improved":[60],"performance":[61,80],"compared":[62],"more":[64],"obvious":[65],"alternatives":[66],"as":[67],"verified":[68],"via":[69],"numerical":[70],"simulations":[71],"using":[72],"Weibull":[73],"envelope":[74],"processes,":[76],"in":[77],"trained":[83],"MLSE":[84],"equalizer":[85],"is":[86],"approached":[87],"narrow":[90],"margin":[91]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
