{"id":"https://openalex.org/W2402182528","doi":"https://doi.org/10.1109/icassp.2016.7472119","title":"Relative-gradient Bussgang-type blind equalization algorithms","display_name":"Relative-gradient Bussgang-type blind equalization algorithms","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2402182528","doi":"https://doi.org/10.1109/icassp.2016.7472119","mag":"2402182528"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002031940","display_name":"Zhengwei Wu","orcid":"https://orcid.org/0000-0002-3500-5990"},"institutions":[{"id":"https://openalex.org/I4210143392","display_name":"University of Pennsylvania Health System","ror":"https://ror.org/04h81rw26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210143392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengwei Wu","raw_affiliation_strings":["Dept. of Electrical and System Engineering, University of Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and System Engineering, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I4210143392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113605057","display_name":"S.A. Kassam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143392","display_name":"University of Pennsylvania Health System","ror":"https://ror.org/04h81rw26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210143392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saleem A. Kassam","raw_affiliation_strings":["Dept. of Electrical and System Engineering, University of Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and System Engineering, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I4210143392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105267090","display_name":"Visa Koivunen","orcid":"https://orcid.org/0000-0003-1454-5928"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Visa Koivunen","raw_affiliation_strings":["Dept. of Signal Processing and Acoustics, Aalto University, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Signal Processing and Acoustics, Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":2,"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":0,"citation_normalized_percentile":{"value":0.02439343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2459","last_page":"2463"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9761000275611877,"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/T10232","display_name":"Optical Network Technologies","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/gradient-descent","display_name":"Gradient descent","score":0.6716133952140808},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6484561562538147},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.6262317895889282},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6241629123687744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6240385174751282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6157812476158142},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5493795275688171},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.48925042152404785},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35279709100723267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2685195803642273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13980451226234436},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09455940127372742},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.0879276692867279}],"concepts":[{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6716133952140808},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6484561562538147},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.6262317895889282},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6241629123687744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240385174751282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6157812476158142},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5493795275688171},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.48925042152404785},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35279709100723267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2685195803642273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13980451226234436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09455940127372742},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0879276692867279},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":23,"referenced_works":["https://openalex.org/W628430524","https://openalex.org/W1481455657","https://openalex.org/W1776966358","https://openalex.org/W1970789124","https://openalex.org/W1972818598","https://openalex.org/W1977067929","https://openalex.org/W1988329654","https://openalex.org/W1998850795","https://openalex.org/W2000186694","https://openalex.org/W2037511891","https://openalex.org/W2094206823","https://openalex.org/W2145060714","https://openalex.org/W2148468997","https://openalex.org/W2149014962","https://openalex.org/W2152623266","https://openalex.org/W2162130927","https://openalex.org/W2165804576","https://openalex.org/W2170459977","https://openalex.org/W2293708794","https://openalex.org/W2963692432","https://openalex.org/W3010812135","https://openalex.org/W3098651689","https://openalex.org/W4239589759"],"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":{"In":[0],"blind":[1],"equalization":[2],"(BE)":[3],"a":[4,25,59],"cost":[5,26],"function":[6],"based":[7,76],"on":[8,77],"the":[9,12,16,37,78],"fit":[10],"between":[11],"equalizer":[13],"outputs":[14],"and":[15],"signaling":[17],"constellation":[18],"is":[19,32],"generally":[20],"defined.":[21],"To":[22],"minimize":[23],"such":[24,46],"function,":[27],"standard":[28,47,79],"gradient":[29,41],"descent":[30],"learning":[31,43],"commonly":[33],"used.":[34],"We":[35],"exploit":[36],"idea":[38],"of":[39,51,62],"relative":[40],"(RG)":[42],"to":[44],"modify":[45],"Bussgang-type":[48],"algorithms.":[49],"Instead":[50],"one":[52],"output":[53],"each":[54],"time,":[55],"our":[56],"method":[57],"uses":[58],"sliding":[60],"block":[61,66],"outputs.":[63],"Our":[64],"RG-based":[65],"Bussgang":[67,74],"algorithms":[68,75],"have":[69],"faster":[70],"convergence":[71],"than":[72],"corresponding":[73],"gradient.":[80]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}