{"id":"https://openalex.org/W3114162533","doi":"https://doi.org/10.23919/eusipco47968.2020.9287570","title":"Blind Equalization Via Polynomial Optimization","display_name":"Blind Equalization Via Polynomial Optimization","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3114162533","doi":"https://doi.org/10.23919/eusipco47968.2020.9287570","mag":"3114162533"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287570","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","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/A5074129836","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0001-7099-6817"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Jiang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049963367","display_name":"Wenjun Zeng","orcid":"https://orcid.org/0000-0003-2531-3137"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wen-Jun Zeng","raw_affiliation_strings":["Signal Processing Group, Technische Universit\u00e4t Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Group, Technische Universit\u00e4t Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609075","display_name":"Jiayi Chen","orcid":"https://orcid.org/0000-0001-6417-290X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Chen","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001328562","display_name":"Abdelhak M. Zoubir","orcid":"https://orcid.org/0000-0002-4409-7743"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abdelhak M. Zoubir","raw_affiliation_strings":["Signal Processing Group, Technische Universit\u00e4t Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Group, Technische Universit\u00e4t Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061319150","display_name":"Xingzhao Liu","orcid":"https://orcid.org/0000-0002-4533-3904"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzhao Liu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1946","last_page":"1950"},"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/T10232","display_name":"Optical Network Technologies","score":0.9861000180244446,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9789999723434448,"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/blind-equalization","display_name":"Blind equalization","score":0.7593740224838257},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.6410145163536072},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5762776732444763},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5670733451843262},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5274096727371216},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5163356065750122},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5065995454788208},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.47929778695106506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4593338072299957},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4553215801715851},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.4522566795349121},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4468725621700287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4358074963092804},{"id":"https://openalex.org/keywords/intersymbol-interference","display_name":"Intersymbol interference","score":0.4308857321739197},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4257880449295044},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4057977795600891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4013041853904724},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3820072412490845},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.1607077717781067},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14568665623664856},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11949601769447327},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10043531656265259},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06985360383987427}],"concepts":[{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.7593740224838257},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.6410145163536072},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5762776732444763},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5670733451843262},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5274096727371216},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5163356065750122},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5065995454788208},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.47929778695106506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4593338072299957},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4553215801715851},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.4522566795349121},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4468725621700287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4358074963092804},{"id":"https://openalex.org/C97812054","wikidata":"https://www.wikidata.org/wiki/Q2166055","display_name":"Intersymbol interference","level":3,"score":0.4308857321739197},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4257880449295044},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4057977795600891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4013041853904724},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3820072412490845},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.1607077717781067},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14568665623664856},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11949601769447327},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10043531656265259},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06985360383987427},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco47968.2020.9287570","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2076599632","https://openalex.org/W2078383150","https://openalex.org/W2086164463","https://openalex.org/W2097715461","https://openalex.org/W2097987904","https://openalex.org/W2112044221","https://openalex.org/W2132796249","https://openalex.org/W2142949395","https://openalex.org/W2145060714","https://openalex.org/W2152623266","https://openalex.org/W2152849401","https://openalex.org/W2153388015","https://openalex.org/W2153988205","https://openalex.org/W2171207156","https://openalex.org/W2522666274","https://openalex.org/W2798333393","https://openalex.org/W2992220284","https://openalex.org/W3102206315","https://openalex.org/W6682329967"],"related_works":["https://openalex.org/W2363908399","https://openalex.org/W2545553786","https://openalex.org/W2080607100","https://openalex.org/W2993703512","https://openalex.org/W2349154090","https://openalex.org/W2014915185","https://openalex.org/W2133621247","https://openalex.org/W2064213624","https://openalex.org/W2109149355","https://openalex.org/W2384320280"],"abstract_inverted_index":{"A":[0,47],"polynomial":[1,25,76],"optimization":[2,60],"based":[3,88],"blind":[4,86,139],"equalizer":[5],"(POBE)":[6],"is":[7,34,55,69],"proposed.":[8],"Different":[9],"from":[10,99],"the":[11,19,27,31,39,59,85,105,109,132],"popular":[12],"constant":[13],"modulus":[14],"algorithm":[15],"and":[16,77],"its":[17],"variants,":[18],"POBE":[20,40,106,135],"adopts":[21],"an":[22],"eighth-order":[23],"multivariate":[24],"as":[26],"loss":[28,32],"function.":[29],"Since":[30],"function":[33],"sensitive":[35],"to":[36],"phase":[37,45],"rotation,":[38],"can":[41,79],"achieve":[42],"automatic":[43],"carrier":[44],"recovery.":[46],"gradient":[48,91],"descent":[49,92],"method":[50],"with":[51,84,93],"optimal":[52,66],"step":[53,67,95],"size":[54,68],"developed":[56],"for":[57],"solving":[58],"problem.":[61],"We":[62],"reveal":[63],"that":[64],"this":[65],"one":[70],"root":[71],"of":[72,126,134],"a":[73,115,123],"seventh-order":[74],"univariate":[75],"hence,":[78],"be":[80],"computed":[81],"easily.":[82],"Compared":[83],"equalizers":[87],"on":[89],"stochastic":[90],"empirical":[94],"size,":[96],"which":[97],"suffers":[98],"slow":[100],"convergence":[101,110],"or":[102],"even":[103],"divergence,":[104],"significantly":[107],"accelerates":[108],"rate.":[111],"Moreover,":[112],"it":[113],"attains":[114],"much":[116],"lower":[117],"inter-symbol":[118],"interference":[119],"(ISI),":[120],"resulting":[121],"in":[122],"noticeable":[124],"improvement":[125],"equalization":[127],"performance.":[128],"Simulation":[129],"results":[130],"demonstrate":[131],"superiority":[133],"over":[136],"several":[137],"representative":[138],"equalizers.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}