{"id":"https://openalex.org/W7123357304","doi":"https://doi.org/10.1109/cdc57313.2025.11312618","title":"On the Superior Performance of Midrange Estimation in Mitigation of Bounded Measurement Noise","display_name":"On the Superior Performance of Midrange Estimation in Mitigation of Bounded Measurement Noise","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W7123357304","doi":"https://doi.org/10.1109/cdc57313.2025.11312618"},"language":null,"primary_location":{"id":"doi:10.1109/cdc57313.2025.11312618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","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/A5006445734","display_name":"Arash Komaee","orcid":"https://orcid.org/0000-0002-1964-643X"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arash Komaee","raw_affiliation_strings":["Southern Illinois University,School of Electrical, Computer, and Biomedical Engineering,Carbondale,IL,USA,62901"],"affiliations":[{"raw_affiliation_string":"Southern Illinois University,School of Electrical, Computer, and Biomedical Engineering,Carbondale,IL,USA,62901","institution_ids":["https://openalex.org/I110378019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006445734"],"corresponding_institution_ids":["https://openalex.org/I110378019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68459982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1455","last_page":"1460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.6362000107765198,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.6362000107765198,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.13699999451637268,"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/T11236","display_name":"Control Systems and Identification","score":0.06930000334978104,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/estimator","display_name":"Estimator","score":0.7831000089645386},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6384000182151794},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5950000286102295},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5432999730110168},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.41280001401901245},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4009999930858612},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.3776000142097473},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.3427000045776367},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.3328000009059906}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7831000089645386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7659000158309937},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6384000182151794},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5950000286102295},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5432999730110168},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5138999819755554},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4821000099182129},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.41280001401901245},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C141042865","wikidata":"https://www.wikidata.org/wiki/Q200125","display_name":"Expected value","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C183057437","wikidata":"https://www.wikidata.org/wiki/Q671617","display_name":"Laplace distribution","level":3,"score":0.31299999356269836},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.30709999799728394},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C2988626262","wikidata":"https://www.wikidata.org/wiki/Q2796622","display_name":"Mean value","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C164172150","wikidata":"https://www.wikidata.org/wiki/Q1782585","display_name":"Consistent estimator","level":4,"score":0.2849000096321106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C35594927","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficient estimator","level":4,"score":0.2732999920845032},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C72396439","wikidata":"https://www.wikidata.org/wiki/Q16000505","display_name":"Symmetric probability distribution","level":3,"score":0.2653999924659729},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc57313.2025.11312618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"midrange":[1,59,74],"estimator":[2,60],"extracts":[3],"a":[4,7,46,77,85,136],"quantity":[5,78],"from":[6],"set":[8],"of":[9,32,43,55,76,92,115,143,159],"its":[10,62,81],"noise-corrupted":[11],"measurements":[12,93,116,144],"by":[13,37],"averaging":[14],"the":[15,30,58,70,73,90,103,129,141,156,160],"largest":[16],"and":[17,97,106,117,163],"smallest":[18],"samples":[19],"in":[20,66,69,133],"this":[21,53,149],"set.":[22],"The":[23],"estimation":[24,75,109,130,166],"performance":[25],"is":[26,50,125],"extensively":[27],"investigated":[28],"for":[29,52,111,155],"case":[31],"bounded":[33],"measurement":[34],"noise":[35,56,119],"described":[36],"random":[38,138],"variables":[39],"with":[40,84],"zero":[41],"probability":[42],"occurrence":[44],"beyond":[45],"finite":[47],"interval.":[48],"It":[49],"shown":[51,127],"type":[54],"that":[57,72,128],"outperforms":[61],"sample":[63],"mean":[64,104,107,161,164],"counterpart":[65],"data":[67],"efficiency,":[68],"sense":[71],"converges":[79,132],"to":[80,135],"true":[82],"value":[83],"much":[86],"faster":[87],"rate,":[88],"as":[89,140],"number":[91,114,142],"increases.":[94],"Explicit":[95],"upper":[96],"lower":[98],"bounds":[99],"are":[100,153],"established":[101],"on":[102,148],"absolute":[105,162],"squared":[108,165],"error":[110,131],"an":[112],"arbitrary":[113,118],"distribution.":[120],"Under":[121],"certain":[122],"assumptions,":[123],"it":[124],"also":[126],"distribution":[134],"Laplace":[137],"variable,":[139],"increases":[145],"unboundedly.":[146],"Based":[147],"finding,":[150],"explicit":[151],"expressions":[152],"derived":[154],"asymptotic":[157],"values":[158],"error.":[167]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-14T00:00:00"}