{"id":"https://openalex.org/W4312852161","doi":"https://doi.org/10.1109/tvlsi.2022.3225533","title":"Fast Estimation of a Statistical Eye Diagram for Nonlinear High-Speed Links Based on the Minimum Required Order of the Multiple Edge Response Method","display_name":"Fast Estimation of a Statistical Eye Diagram for Nonlinear High-Speed Links Based on the Minimum Required Order of the Multiple Edge Response Method","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4312852161","doi":"https://doi.org/10.1109/tvlsi.2022.3225533"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2022.3225533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2022.3225533","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-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/A5100625139","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-3910-438X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Key Laboratory of High-Speed Circuit Design and EMC, Ministry of Education, Xidian University, Xi’an, China","Ministry of Education, Key Laboratory of High-Speed Circuit Design and EMC, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-3910-438X","affiliations":[{"raw_affiliation_string":"Key Laboratory of High-Speed Circuit Design and EMC, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of High-Speed Circuit Design and EMC, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025066189","display_name":"Yuhuan Luo","orcid":"https://orcid.org/0000-0002-1934-6453"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhuan Luo","raw_affiliation_strings":["Key Laboratory of High-Speed Circuit Design and EMC, Ministry of Education, Xidian University, Xi’an, China","Ministry of Education, Key Laboratory of High-Speed Circuit Design and EMC, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-1934-6453","affiliations":[{"raw_affiliation_string":"Key Laboratory of High-Speed Circuit Design and EMC, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of High-Speed Circuit Design and EMC, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090246483","display_name":"Wenting Guo","orcid":"https://orcid.org/0000-0002-1202-2472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenting Guo","raw_affiliation_strings":["Zeku Technology Company Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zeku Technology Company Ltd., Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103150943","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0001-7266-5579"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["Key Laboratory of High-Speed Circuit Design and EMC, Ministry of Education, Xidian University, Xi’an, China","Ministry of Education, Key Laboratory of High-Speed Circuit Design and EMC, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of High-Speed Circuit Design and EMC, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of High-Speed Circuit Design and EMC, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012198483","display_name":"Xiuqin Chu","orcid":"https://orcid.org/0000-0001-5860-2002"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqin Chu","raw_affiliation_strings":["Key Laboratory of High-Speed Circuit Design and EMC, Ministry of Education, Xidian University, Xi’an, China","Ministry of Education, Key Laboratory of High-Speed Circuit Design and EMC, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-5860-2002","affiliations":[{"raw_affiliation_string":"Key Laboratory of High-Speed Circuit Design and EMC, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of High-Speed Circuit Design and EMC, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.113,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81238809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"31","issue":"2","first_page":"210","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T14156","display_name":"Engineering Applied Research","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/convolution","display_name":"Convolution (computer science)","score":0.6739301681518555},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6094342470169067},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6053218245506287},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5882378816604614},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5265011191368103},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.48790308833122253},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.46994689106941223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4405183792114258},{"id":"https://openalex.org/keywords/diagram","display_name":"Diagram","score":0.41676998138427734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38609573245048523},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35621416568756104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21482151746749878},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18348556756973267},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17413535714149475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16902512311935425},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1265639364719391}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6739301681518555},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6094342470169067},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6053218245506287},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5882378816604614},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5265011191368103},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.48790308833122253},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.46994689106941223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4405183792114258},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.41676998138427734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38609573245048523},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35621416568756104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21482151746749878},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18348556756973267},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17413535714149475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16902512311935425},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1265639364719391},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/tvlsi.2022.3225533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2022.3225533","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1106345602","display_name":null,"funder_award_id":"XJS210203","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2332027","display_name":null,"funder_award_id":"62171338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3343861164","display_name":null,"funder_award_id":"2021JM-132","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G477847414","display_name":null,"funder_award_id":"61901331","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8282387576","display_name":null,"funder_award_id":"LHJJ/2022-09","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322999","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1496100761","https://openalex.org/W1979270334","https://openalex.org/W2020176190","https://openalex.org/W2099571807","https://openalex.org/W2129153627","https://openalex.org/W2132667359","https://openalex.org/W2159160377","https://openalex.org/W2169458783","https://openalex.org/W2221779175","https://openalex.org/W2766794021","https://openalex.org/W2971810545","https://openalex.org/W3011985012","https://openalex.org/W3103871524","https://openalex.org/W3135143386","https://openalex.org/W3171032819","https://openalex.org/W3209250649","https://openalex.org/W4233824903","https://openalex.org/W4253630619"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2101902114","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4249592067","https://openalex.org/W2056407677","https://openalex.org/W2128085731","https://openalex.org/W4293054829"],"abstract_inverted_index":{"With":[0],"the":[1,9,28,33,43,49,54,58,62,69,89,97,101,115,125,135,140,144,149,155,158,172,180,188],"increase":[2],"in":[3,74,139,148],"nonlinear":[4,83,150],"effects":[5],"of":[6,35,42,61,72,92,100,104,124,157,179],"high-speed":[7,23,75],"links,":[8],"higher":[10,105,189],"order":[11,60,91,106,190],"multiple":[12],"edge":[13,37,78,117,126,162],"response":[14,118],"(MER)":[15],"method":[16,56,64,110,120,182],"is":[17,65,111,131,152],"widely":[18],"used":[19,132],"to":[20,88,133],"accurately":[21],"evaluate":[22],"link":[24],"performance":[25],"by":[26,154,185],"computing":[27],"statistical":[29,122],"eye":[30],"diagram":[31],"at":[32],"price":[34],"massive":[36],"responses.":[38],"The":[39,77,128,175],"computational":[40,98],"complexity":[41],"MER":[44,63,191],"algorithm":[45],"exponentially":[46],"increases":[47],"with":[48,164,187],"order.":[50],"In":[51],"this":[52],"article,":[53],"estimation":[55],"for":[57],"minimum":[59,90],"proposed":[66,112,181],"based":[67],"on":[68],"last":[70],"time":[71],"nonlinearity":[73],"links.":[76],"responses":[79,163],"are":[80,183],"divided":[81],"into":[82],"and":[84,121,143,160,177],"linear":[85,141],"sections":[86],"according":[87],"MER.":[93],"To":[94],"further":[95],"improve":[96],"efficiency":[99,178],"convolution":[102,130],"operation":[103],"MERs,":[107],"a":[108],"hybrid":[109],"that":[113],"combines":[114],"double":[116],"(DER)":[119],"data":[123],"response.":[127],"DER":[129],"obtain":[134],"probability":[136,145],"density":[137,146],"distribution":[138,147],"section,":[142],"section":[151],"obtained":[153],"statistics":[156],"rising":[159],"falling":[161],"different":[165],"leading":[166],"bits,":[167],"which":[168],"can":[169],"greatly":[170],"reduce":[171],"computation":[173],"time.":[174],"accuracy":[176],"verified":[184],"comparison":[186],"method.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}