{"id":"https://openalex.org/W3006823303","doi":"https://doi.org/10.1109/redundancy48165.2019.9003350","title":"Curve Fitting for Error Rate Data","display_name":"Curve Fitting for Error Rate Data","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3006823303","doi":"https://doi.org/10.1109/redundancy48165.2019.9003350","mag":"3006823303"},"language":"en","primary_location":{"id":"doi:10.1109/redundancy48165.2019.9003350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/redundancy48165.2019.9003350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 XVI International Symposium \"Problems of Redundancy in Information and Control Systems\" (REDUNDANCY)","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/A5087346926","display_name":"Alexander B. Sergienko","orcid":"https://orcid.org/0000-0003-0968-9708"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Alexander B. Sergienko","raw_affiliation_strings":["Department of Theoretical Fundamentals of Radio Engineering, Saint-Petersburg Electrotechnical University \u201cLETI\u201d, Saint Petersburg, Russia","Department of Theoretical Fundamentals of Radio Engineering, Saint-Petersburg Electrotechnical University \"LETI\", Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Theoretical Fundamentals of Radio Engineering, Saint-Petersburg Electrotechnical University \u201cLETI\u201d, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]},{"raw_affiliation_string":"Department of Theoretical Fundamentals of Radio Engineering, Saint-Petersburg Electrotechnical University \"LETI\", Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087346926"],"corresponding_institution_ids":["https://openalex.org/I41518628"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16830114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9993000030517578,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9993000030517578,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9986000061035156,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9980000257492065,"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/curve-fitting","display_name":"Curve fitting","score":0.7310972213745117},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5924899578094482},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.552903950214386},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5224329829216003},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.507340133190155},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.47896674275398254},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47480857372283936},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.47039803862571716},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.4668826162815094},{"id":"https://openalex.org/keywords/error-analysis","display_name":"Error analysis","score":0.4178923964500427},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4156414866447449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4089224934577942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3870532512664795},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.2671898603439331},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.18899941444396973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10059824585914612},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06738761067390442}],"concepts":[{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.7310972213745117},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5924899578094482},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.552903950214386},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5224329829216003},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.507340133190155},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.47896674275398254},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47480857372283936},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.47039803862571716},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.4668826162815094},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.4178923964500427},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4156414866447449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4089224934577942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3870532512664795},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2671898603439331},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.18899941444396973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10059824585914612},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06738761067390442},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/redundancy48165.2019.9003350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/redundancy48165.2019.9003350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 XVI International Symposium \"Problems of Redundancy in Information and Control Systems\" (REDUNDANCY)","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":4,"referenced_works":["https://openalex.org/W2117270233","https://openalex.org/W2126498107","https://openalex.org/W2156408736","https://openalex.org/W2557283755"],"related_works":["https://openalex.org/W3151522584","https://openalex.org/W1564381903","https://openalex.org/W1529797273","https://openalex.org/W2137901323","https://openalex.org/W2027491236","https://openalex.org/W2347703721","https://openalex.org/W2374739525","https://openalex.org/W1596452184","https://openalex.org/W2351545781","https://openalex.org/W1997826558"],"abstract_inverted_index":{"The":[0,15],"problem":[1],"of":[2,29,50,62,76],"fitting":[3,24,41,78],"experimental":[4],"or":[5],"simulated":[6],"error":[7,31,51,83],"rate":[8,84],"data":[9],"with":[10],"analytical":[11],"curves":[12],"is":[13,17,37,67],"analyzed.":[14],"comparison":[16],"made":[18],"between":[19],"the":[20,69],"maximum":[21],"likelihood":[22],"(ML)":[23],"and":[25,53],"widely":[26],"used":[27],"minimization":[28],"squared":[30],"in":[32],"log":[33],"domain":[34],"(Log-MSQ).":[35],"It":[36],"shown":[38],"that":[39,66],"ML":[40,77],"demonstrates":[42],"lower":[43],"sensitivity":[44],"to":[45,56],"a":[46],"particular":[47],"sample":[48],"realization":[49],"events,":[52],"also":[54],"allows":[55],"take":[57],"into":[58],"account":[59],"different":[60,63],"reliability":[61],"BER":[64],"measurements":[65],"often":[68],"practical":[70],"situation.":[71],"Computer":[72],"simulations":[73],"confirmed":[74],"superiority":[75],"over":[79],"Log-MSQ":[80],"for":[81],"various":[82],"measurement":[85],"scenarios.":[86]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
