{"id":"https://openalex.org/W2734412527","doi":"https://doi.org/10.23919/acc.2017.7963388","title":"A comparison of \u0394 coefficients and the \u03b4 parameterization, part I: Coefficient accuracy","display_name":"A comparison of \u0394 coefficients and the \u03b4 parameterization, part I: Coefficient accuracy","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734412527","doi":"https://doi.org/10.23919/acc.2017.7963388","mag":"2734412527"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7963388","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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/A5019043928","display_name":"Daniel Y. Abramovitch","orcid":"https://orcid.org/0000-0002-5914-926X"},"institutions":[{"id":"https://openalex.org/I138285227","display_name":"Agilent Technologies (United States)","ror":"https://ror.org/02tryst02","country_code":"US","type":"company","lineage":["https://openalex.org/I138285227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Y. Abramovitch","raw_affiliation_strings":["System architect in the Mass Spec Divistion at Agilent Technologies, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"System architect in the Mass Spec Divistion at Agilent Technologies, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I138285227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019043928"],"corresponding_institution_ids":["https://openalex.org/I138285227"],"apc_list":null,"apc_paid":null,"fwci":0.3441,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56795329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2882","last_page":"2887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9954000115394592,"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/T11236","display_name":"Control Systems and Identification","score":0.9952999949455261,"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/digital-biquad-filter","display_name":"Digital biquad filter","score":0.9403584599494934},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.7324776649475098},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.5310155749320984},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5146538019180298},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49940037727355957},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4963734745979309},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.4689495265483856},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.45809632539749146},{"id":"https://openalex.org/keywords/analogue-filter","display_name":"Analogue filter","score":0.44282427430152893},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4287119209766388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41796454787254333},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4028061330318451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3650094270706177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21213749051094055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09063521027565002},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08101898431777954}],"concepts":[{"id":"https://openalex.org/C14455310","wikidata":"https://www.wikidata.org/wiki/Q5276043","display_name":"Digital biquad filter","level":4,"score":0.9403584599494934},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.7324776649475098},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.5310155749320984},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5146538019180298},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49940037727355957},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4963734745979309},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.4689495265483856},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.45809632539749146},{"id":"https://openalex.org/C176046018","wikidata":"https://www.wikidata.org/wiki/Q359205","display_name":"Analogue filter","level":4,"score":0.44282427430152893},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4287119209766388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41796454787254333},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4028061330318451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3650094270706177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21213749051094055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09063521027565002},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08101898431777954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7963388","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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":15,"referenced_works":["https://openalex.org/W1487585609","https://openalex.org/W1494691300","https://openalex.org/W1588644799","https://openalex.org/W1595944455","https://openalex.org/W1959021591","https://openalex.org/W2028573862","https://openalex.org/W2036637257","https://openalex.org/W2077832469","https://openalex.org/W2089953953","https://openalex.org/W2095686864","https://openalex.org/W2148060235","https://openalex.org/W2149457238","https://openalex.org/W2154993399","https://openalex.org/W4206194712","https://openalex.org/W6682011139"],"related_works":["https://openalex.org/W2504985649","https://openalex.org/W3149709731","https://openalex.org/W2350683098","https://openalex.org/W1993473974","https://openalex.org/W1547838047","https://openalex.org/W2313215289","https://openalex.org/W2133624256","https://openalex.org/W3000365547","https://openalex.org/W1967543370","https://openalex.org/W3049237463"],"abstract_inverted_index":{"The":[0,73,93],"multinotch":[1,47],"was":[2],"introduced":[3,56],"in":[4,45,57,164],"[1]":[5],"as":[6,14,30],"a":[7,102,121],"way":[8],"to":[9,15,25,37,86],"parameterize":[10],"digital":[11,83],"filters":[12,136],"so":[13],"preserve":[16],"numerical":[17],"fidelity":[18],"of":[19,81,100,105,120,123,134,156],"the":[20,31,38,42,46,98,106,117,131],"filter":[21,84,107],"while":[22],"providing":[23],"precalculation":[24],"reduce":[26],"computational":[27],"latency.":[28],"Still,":[29],"sample":[32,91,113],"rate":[33],"got":[34,48],"large":[35],"relative":[36],"frequencies":[39],"being":[40],"filtered,":[41],"biquad":[43,125,135],"coefficients":[44,55,85],"sensitive.":[49],"A":[50],"coefficient":[51,63,132],"adjustment":[52],"called":[53],"\u0394":[54,151],"[2]":[58],"worked":[59],"extremely":[60],"well":[61],"on":[62,154],"sensitivity,":[64],"but":[65],"did":[66],"not":[67],"address":[68],"potential":[69],"signal":[70,158],"overflow":[71],"problems.":[72],"\u03b4":[74,94,143],"parameterization":[75],"[3],":[76],"[4]":[77],"is":[78],"another":[79],"method":[80],"adjusting":[82],"compensate":[87],"for":[88,111],"relatively":[89],"high":[90,112],"rates.":[92],"operator":[95],"also":[96],"has":[97],"advantage":[99],"generating":[101],"differential":[103],"form":[104],"[5],":[108],"which":[109],"-":[110,115],"rates":[114],"approximates":[116],"internal":[118,157],"behavior":[119],"cascade":[122],"analog":[124],"filters.":[126],"This":[127],"paper":[128],"will":[129,161],"compare":[130],"accuracy":[133],"that":[137],"are":[138],"parameterized":[139,147],"via":[140,148],"fixed":[141,149],"point":[142,150],"operators":[144],"with":[145],"those":[146],"coefficients.":[152],"Follow":[153],"comparisons":[155],"growth":[159],"issues":[160],"be":[162],"studied":[163],"[6].":[165]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}