{"id":"https://openalex.org/W2155391723","doi":"https://doi.org/10.1109/icassp.1982.1171460","title":"Performance evaluation of three adaptive equalization algorithms","display_name":"Performance evaluation of three adaptive equalization algorithms","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2155391723","doi":"https://doi.org/10.1109/icassp.1982.1171460","mag":"2155391723"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. 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/A5087599025","display_name":"Hikmet Sari","orcid":"https://orcid.org/0000-0001-8114-6164"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"H. Sari","raw_affiliation_strings":["Laboratoires d'Electronique et de Physique Appliqu\u00e9e, Limeil Brevannes, France"],"affiliations":[{"raw_affiliation_string":"Laboratoires d'Electronique et de Physique Appliqu\u00e9e, Limeil Brevannes, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087599025"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8251,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.75517157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1385","last_page":"1389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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/algorithm","display_name":"Algorithm","score":0.6653661727905273},{"id":"https://openalex.org/keywords/equalizer","display_name":"Equalizer","score":0.6579107046127319},{"id":"https://openalex.org/keywords/adaptive-equalizer","display_name":"Adaptive equalizer","score":0.6440843343734741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6392336487770081},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6032885909080505},{"id":"https://openalex.org/keywords/probability-of-error","display_name":"Probability of error","score":0.5940018892288208},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5855194330215454},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5629898905754089},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5394938588142395},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4408166706562042},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33008453249931335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30464479327201843},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2772732377052307},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.15119674801826477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11750492453575134},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08633735775947571}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6653661727905273},{"id":"https://openalex.org/C67545415","wikidata":"https://www.wikidata.org/wiki/Q5384218","display_name":"Equalizer","level":3,"score":0.6579107046127319},{"id":"https://openalex.org/C25125847","wikidata":"https://www.wikidata.org/wiki/Q4680741","display_name":"Adaptive equalizer","level":4,"score":0.6440843343734741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392336487770081},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6032885909080505},{"id":"https://openalex.org/C92224547","wikidata":"https://www.wikidata.org/wiki/Q1673216","display_name":"Probability of error","level":2,"score":0.5940018892288208},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5855194330215454},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5629898905754089},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5394938588142395},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4408166706562042},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33008453249931335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30464479327201843},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2772732377052307},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.15119674801826477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11750492453575134},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08633735775947571},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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":[{"id":"doi:10.1109/icassp.1982.1171460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":7,"referenced_works":["https://openalex.org/W16549305","https://openalex.org/W2007926143","https://openalex.org/W2008965105","https://openalex.org/W2096546463","https://openalex.org/W2103325786","https://openalex.org/W2168106363","https://openalex.org/W3184356938"],"related_works":["https://openalex.org/W2352178434","https://openalex.org/W2018366688","https://openalex.org/W1984561329","https://openalex.org/W2351868092","https://openalex.org/W2950272089","https://openalex.org/W2372385147","https://openalex.org/W1804663541","https://openalex.org/W2352105133","https://openalex.org/W2168755097","https://openalex.org/W2123945883"],"abstract_inverted_index":{"The":[0],"three":[1],"simplified":[2],"versions":[3],"of":[4,53,70],"the":[5,16,20,50,58,68,71],"stochastic":[6],"gradient":[7],"algorithm":[8],"are":[9,41,64],"analyzed.":[10],"Assuming":[11],"gaussian":[12],"probability":[13],"distributions":[14],"for":[15],"input":[17],"signal":[18],"and":[19,36],"output":[21,29],"error":[22,32],"signal,":[23],"their":[24,28,37],"stability":[25],"is":[26,34],"studied,":[27],"mean":[30],"square":[31],"performance":[33],"evaluated":[35],"optimal":[38],"step-size":[39],"parameters":[40],"given.":[42],"For":[43],"digitally":[44],"implemented":[45],"equalizers":[46],"we":[47],"also":[48],"indicate":[49],"minimum":[51],"number":[52],"bits":[54],"required":[55],"to":[56],"store":[57],"equalizer":[59],"coefficients.":[60],"Computer":[61],"simulation":[62],"results":[63],"reported":[65],"which":[66],"confirm":[67],"validity":[69],"theoretical":[72],"results.":[73]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
