{"id":"https://openalex.org/W1891581014","doi":"https://doi.org/10.1109/icassp.1987.1169908","title":"Efficient algorithms for 1-D and 2-D noncasual autoregressive system modelings","display_name":"Efficient algorithms for 1-D and 2-D noncasual autoregressive system modelings","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1891581014","doi":"https://doi.org/10.1109/icassp.1987.1169908","mag":"1891581014"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1987.1169908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1987.1169908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087649973","display_name":"Ah-Hin. Kok","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Kok","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047800576","display_name":"Dimitris G. Manolakis","orcid":"https://orcid.org/0000-0003-1341-1522"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Manolakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002090285","display_name":"Vinay K. Ingle","orcid":"https://orcid.org/0000-0002-9810-2480"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Ingle","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.2565,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45313517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1977","last_page":"1980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9929999709129333,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9890999794006348,"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/autoregressive-model","display_name":"Autoregressive model","score":0.8523213863372803},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6260683536529541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5641078352928162},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4416019916534424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30929869413375854},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.23215967416763306},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09993529319763184}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8523213863372803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6260683536529541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5641078352928162},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4416019916534424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30929869413375854},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.23215967416763306},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09993529319763184},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1987.1169908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1987.1169908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4699999988079071,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W185980327","https://openalex.org/W1969387442","https://openalex.org/W2002208930","https://openalex.org/W2046245205","https://openalex.org/W2058367641","https://openalex.org/W2070912610","https://openalex.org/W2082663475","https://openalex.org/W2102523379","https://openalex.org/W2122787031","https://openalex.org/W2585804031"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793","https://openalex.org/W4238204885"],"abstract_inverted_index":{"Autoregressive":[0],"(AR)":[1],"models":[2,54],"have":[3],"been":[4,37],"proved":[5],"to":[6,29,42,49],"be":[7],"a":[8,38,56],"powerful":[9],"tool":[10],"in":[11,122],"many":[12,61],"1-D":[13,84],"and":[14,73,89],"2-D":[15,96,120],"digital":[16],"signal":[17],"processing":[18],"applications.":[19,62],"Most":[20],"of":[21,40,65,110,118],"the":[22,50,108,116,119],"work":[23],"done":[24],"so":[25],"far,":[26],"was":[27],"limited":[28],"causal":[30],"AR":[31,44,82,92],"models.":[32,45],"However,":[33],"recently":[34],"there":[35],"has":[36],"lot":[39],"interest":[41],"noncausal":[43,53,80,90],"This":[46],"is":[47,68],"due":[48],"fact":[51],"that":[52],"are":[55],"more":[57],"natural":[58],"choice":[59],"for":[60,86,95,107],"The":[63],"purpose":[64],"this":[66],"paper":[67],"twofold.":[69],"First,":[70],"we":[71,101,114],"introduce":[72,102],"investigate":[74],"two":[75,103],"system":[76],"modeling":[77,85,94],"problems,":[78],"namely":[79],"linear-phase":[81],"(NCLPAR)":[83],"stationary":[87],"signals":[88],"zero-phase":[91],"(NCZPAR)":[93],"homogeneous":[97],"random":[98],"fields.":[99],"Then,":[100],"efficient":[104],"computational":[105],"algorithms":[106,121],"determination":[109],"model":[111],"parameters.":[112],"Finally,":[113],"illustrate":[115],"performance":[117],"an":[123],"image":[124],"restoration":[125],"application.":[126]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}