{"id":"https://openalex.org/W2138614043","doi":"https://doi.org/10.1109/icassp.1982.1171733","title":"Data adaptive ARMA modeling of time series","display_name":"Data adaptive ARMA modeling of time series","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2138614043","doi":"https://doi.org/10.1109/icassp.1982.1171733","mag":"2138614043"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5023611913","display_name":"J.A. Cadzow","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Cadzow","raw_affiliation_strings":["Department of Electrical and Computer, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004584565","display_name":"Behshad Baseghi","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Baseghi","raw_affiliation_strings":["Department of Electrical and Computer, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023611913"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20152425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"256","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9979000091552734,"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/autocorrelation","display_name":"Autocorrelation","score":0.7120378613471985},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6926673650741577},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.6693234443664551},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6398129463195801},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.627334713935852},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5919393301010132},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.586172878742218},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5718905925750732},{"id":"https://openalex.org/keywords/autocorrelation-matrix","display_name":"Autocorrelation matrix","score":0.5682904124259949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.559557318687439},{"id":"https://openalex.org/keywords/moving-average-model","display_name":"Moving-average model","score":0.5137463808059692},{"id":"https://openalex.org/keywords/singular-spectrum-analysis","display_name":"Singular spectrum analysis","score":0.49340859055519104},{"id":"https://openalex.org/keywords/moving-average","display_name":"Moving average","score":0.484872430562973},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.45717719197273254},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.4455486238002777},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.441975474357605},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4262089431285858},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39126330614089966},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.329630047082901},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.17927893996238708},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15519782900810242},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09302935004234314},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07554265856742859}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7120378613471985},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6926673650741577},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.6693234443664551},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6398129463195801},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.627334713935852},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5919393301010132},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.586172878742218},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5718905925750732},{"id":"https://openalex.org/C4033963","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation matrix","level":3,"score":0.5682904124259949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.559557318687439},{"id":"https://openalex.org/C155380588","wikidata":"https://www.wikidata.org/wiki/Q1088984","display_name":"Moving-average model","level":4,"score":0.5137463808059692},{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.49340859055519104},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.484872430562973},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.45717719197273254},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.4455486238002777},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.441975474357605},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4262089431285858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39126330614089966},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.329630047082901},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.17927893996238708},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15519782900810242},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09302935004234314},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07554265856742859},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1982.1171733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":3,"referenced_works":["https://openalex.org/W2053372316","https://openalex.org/W2098502158","https://openalex.org/W2133638105"],"related_works":["https://openalex.org/W2036994430","https://openalex.org/W2413726729","https://openalex.org/W3115491726","https://openalex.org/W3190289737","https://openalex.org/W1989016082","https://openalex.org/W2367697829","https://openalex.org/W308824544","https://openalex.org/W2481337830","https://openalex.org/W2946438382","https://openalex.org/W1484537345"],"abstract_inverted_index":{"An":[0],"algebraic":[1],"characterization":[2,11],"of":[3,26,50,67,78],"ARMA":[4,55],"random":[5],"time":[6,18],"series":[7,19],"is":[8,23,64],"presented.":[9],"This":[10,33,62],"in":[12],"turn":[13],"gives":[14],"rise":[15],"to":[16,40],"a":[17,24,65,74],"modeling":[20,35,43],"procedure":[21,36],"which":[22,45],"generalization":[25],"the":[27,48,68],"so-called":[28],"high":[29,53],"performance":[30],"method":[31],"[1]-[14].":[32],"new":[34],"has":[37],"been":[38],"found":[39],"possess":[41],"exceptional":[42],"capabilities":[44],"makes":[46],"possible":[47],"generation":[49],"lower":[51],"order,":[52],"quality":[54],"spectral":[56],"estimates":[57],"from":[58],"short":[59],"data":[60,69],"lengths.":[61],"capability":[63],"consequence":[66],"smoothing":[70],"achieved":[71],"upon":[72],"making":[73],"singular":[75],"value":[76],"decomposition":[77],"an":[79],"extended":[80],"autocorrelation":[81],"matrix":[82],"estimate.":[83]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
