{"id":"https://openalex.org/W2781505583","doi":"https://doi.org/10.1109/test.2017.8242058","title":"A jitter separation and BER estimation method for asymmetric total jitter distributions","display_name":"A jitter separation and BER estimation method for asymmetric total jitter distributions","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2781505583","doi":"https://doi.org/10.1109/test.2017.8242058","mag":"2781505583"},"language":"en","primary_location":{"id":"doi:10.1109/test.2017.8242058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Test Conference (ITC)","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/A5109203606","display_name":"Masahiro Ishida","orcid":"https://orcid.org/0009-0000-7712-4966"},"institutions":[{"id":"https://openalex.org/I4210103901","display_name":"Advantest (Japan)","ror":"https://ror.org/01bvpmp82","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210103901"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masahiro Ishida","raw_affiliation_strings":["ADVANTEST Corporation, Meiwa-machi, Ora-gun, Gunma, JAPAN"],"affiliations":[{"raw_affiliation_string":"ADVANTEST Corporation, Meiwa-machi, Ora-gun, Gunma, JAPAN","institution_ids":["https://openalex.org/I4210103901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034107129","display_name":"Kiyotaka Ichiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103901","display_name":"Advantest (Japan)","ror":"https://ror.org/01bvpmp82","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210103901"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyotaka Ichiyama","raw_affiliation_strings":["ADVANTEST Corporation, Meiwa-machi, Ora-gun, Gunma, JAPAN"],"affiliations":[{"raw_affiliation_string":"ADVANTEST Corporation, Meiwa-machi, Ora-gun, Gunma, JAPAN","institution_ids":["https://openalex.org/I4210103901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109203606"],"corresponding_institution_ids":["https://openalex.org/I4210103901"],"apc_list":null,"apc_paid":null,"fwci":0.43,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66945846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11417","display_name":"Advancements in PLL and VCO Technologies","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T11417","display_name":"Advancements in PLL and VCO Technologies","score":0.9925000071525574,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9460999965667725,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9459999799728394,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/jitter","display_name":"Jitter","score":0.9825352430343628},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6273908615112305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5658215284347534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5552772283554077},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.46809080243110657},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40192803740501404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1542384922504425},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14412516355514526},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11888584494590759}],"concepts":[{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.9825352430343628},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6273908615112305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5658215284347534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5552772283554077},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.46809080243110657},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40192803740501404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1542384922504425},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14412516355514526},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11888584494590759},{"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/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/test.2017.8242058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Test Conference (ITC)","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":17,"referenced_works":["https://openalex.org/W1490491299","https://openalex.org/W1559581508","https://openalex.org/W1604115488","https://openalex.org/W1608274462","https://openalex.org/W1691451471","https://openalex.org/W1870817321","https://openalex.org/W2047814220","https://openalex.org/W2108946554","https://openalex.org/W2118312823","https://openalex.org/W2143339223","https://openalex.org/W2153419022","https://openalex.org/W2158155314","https://openalex.org/W2161746181","https://openalex.org/W2162364319","https://openalex.org/W2162528988","https://openalex.org/W2176875671","https://openalex.org/W6633802106"],"related_works":["https://openalex.org/W2121182846","https://openalex.org/W2155789024","https://openalex.org/W2315668284","https://openalex.org/W3213608175","https://openalex.org/W2109491806","https://openalex.org/W3117675750","https://openalex.org/W2141743053","https://openalex.org/W2037276323","https://openalex.org/W3095633856","https://openalex.org/W2058044441"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"fast-Fourier-transform-based":[4],"jitter":[5,18,26,40,43,53,71],"separation":[6],"and":[7,34,41,55,72,81],"model-based":[8],"bit-error-rate":[9],"(BER)":[10],"curve":[11],"estimation":[12],"technique":[13],"for":[14],"analyzing":[15],"asymmetric":[16,24],"total":[17,52],"distributions.":[19],"The":[20,79],"proposed":[21,67,85],"method":[22,68,86],"assumes":[23],"deterministic":[25,39],"models":[27],"which":[28],"have":[29],"distributions":[30],"denoted":[31],"by":[32,44],"even":[33],"odd":[35],"functions.":[36],"It":[37],"separates":[38],"random":[42],"identifying":[45],"the":[46,50,60,66,84],"model":[47],"parameters":[48],"from":[49],"measured":[51],"histogram,":[54],"estimates":[56],"BER-curves":[57,73],"based":[58],"on":[59],"models.":[61],"Experimental":[62],"results":[63],"show":[64],"that":[65],"can":[69],"analyze":[70],"more":[74],"accurately":[75],"than":[76],"existing":[77],"methods.":[78],"advantages":[80],"limitations":[82],"of":[83],"are":[87],"also":[88],"discussed.":[89]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
