{"id":"https://openalex.org/W2122046909","doi":"https://doi.org/10.1109/iscas.2008.4542139","title":"An algorithm for ARMA model parameter estimation from noisy observations","display_name":"An algorithm for ARMA model parameter estimation from noisy observations","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2122046909","doi":"https://doi.org/10.1109/iscas.2008.4542139","mag":"2122046909"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2008.4542139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2008.4542139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5074606314","display_name":"Shaikh Anowarul Fattah","orcid":"https://orcid.org/0000-0001-8090-2327"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. A. Fattah","raw_affiliation_strings":["Centre for Signal Processing and Communications, Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, H3G 1M8 Canada","Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Signal Processing and Communications, Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, H3G 1M8 Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033247734","display_name":"Wei\u2010Ping Zhu","orcid":"https://orcid.org/0000-0001-7955-7044"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"W.-P. Zhu","raw_affiliation_strings":["Centre for Signal Processing and Communications, Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, H3G 1M8 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Signal Processing and Communications, Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, H3G 1M8 Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. O. Ahmad","raw_affiliation_strings":["Centre for Signal Processing and Communications, Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, H3G 1M8 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Signal Processing and Communications, Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, H3G 1M8 Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.15392636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"3202","last_page":"3205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9972000122070312,"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/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.7430704236030579},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6689376831054688},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6686711311340332},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6496838927268982},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6221871972084045},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.597008466720581},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5913875102996826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4916911721229553},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45766785740852356},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.42993372678756714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41919535398483276},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.41726404428482056},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27303043007850647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1821363866329193},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.17751961946487427},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1427460014820099}],"concepts":[{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.7430704236030579},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6689376831054688},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6686711311340332},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6496838927268982},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6221871972084045},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.597008466720581},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5913875102996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4916911721229553},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45766785740852356},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.42993372678756714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41919535398483276},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.41726404428482056},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27303043007850647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1821363866329193},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.17751961946487427},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1427460014820099},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2008.4542139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2008.4542139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1597732836","https://openalex.org/W1989016082","https://openalex.org/W2096305673","https://openalex.org/W2106297417","https://openalex.org/W2115581651","https://openalex.org/W2124735774","https://openalex.org/W2126509795","https://openalex.org/W2137718389","https://openalex.org/W2139670521","https://openalex.org/W2159379282","https://openalex.org/W2161643045","https://openalex.org/W6680636629"],"related_works":["https://openalex.org/W2301046667","https://openalex.org/W2014157823","https://openalex.org/W2139476852","https://openalex.org/W2159379282","https://openalex.org/W1974742569","https://openalex.org/W2067753569","https://openalex.org/W2087484191","https://openalex.org/W2915530280","https://openalex.org/W1629001578","https://openalex.org/W2068653731"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,33,42,60,100,130],"new":[4],"algorithm":[5,62],"for":[6,117],"the":[7,24,28,39,53,56,67,72,75,83,88,105,109],"parameter":[8],"estimation":[9,54,137],"of":[10,27,38,44,55,69,74,108,120,136],"minimum-phase":[11],"autoregressive":[12],"moving":[13],"average":[14],"(ARMA)":[15],"systems":[16,119],"from":[17,71],"noise-corrupted":[18],"observations.":[19],"In":[20],"order":[21],"to":[22,65,104],"estimate":[23],"AR":[25,90],"parameters":[26,94],"ARMA":[29,85,118],"system,":[30],"based":[31],"on":[32],"repeated":[34],"autocorrelation":[35],"function":[36],"(ACF)":[37],"observed":[40],"data,":[41],"set":[43],"zero":[45],"lag":[46],"compensated":[47],"equations":[48],"has":[49],"been":[50],"developed.":[51],"For":[52],"MA":[57,93],"parameters,":[58],"first,":[59],"noise-subtraction":[61],"is":[63,79],"proposed":[64],"reduce":[66],"effect":[68],"noise":[70],"ACF":[73,107],"residual":[76,110],"signal":[77,86],"which":[78],"obtained":[80],"by":[81,98],"filtering":[82],"noisy":[84,124],"via":[87],"estimated":[89,97],"parameters.":[91],"The":[92],"are":[95,114],"then":[96],"using":[99],"spectral":[101],"factorization":[102],"corresponding":[103],"noise-compensated":[106],"signal.":[111],"Computer":[112],"simulations":[113],"carried":[115],"out":[116],"different":[121],"orders":[122],"under":[123],"environments":[125],"and":[126,139],"simulation":[127],"results":[128],"demonstrate":[129],"superior":[131],"identification":[132],"performance":[133],"in":[134],"terms":[135],"accuracy":[138],"consistency.":[140]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
