{"id":"https://openalex.org/W2115476117","doi":"https://doi.org/10.1109/78.193222","title":"An unbiased and computationally efficient LS estimation method for identifying parameters of 2D noncausal SAR models","display_name":"An unbiased and computationally efficient LS estimation method for identifying parameters of 2D noncausal SAR models","publication_year":1993,"publication_date":"1993-01-01","ids":{"openalex":"https://openalex.org/W2115476117","doi":"https://doi.org/10.1109/78.193222","mag":"2115476117"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/78.193222","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5103557806","display_name":"Ping\u2010Ya Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"funder","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Ping-Ya Zhao","raw_affiliation_strings":["Department SSR, UPM, Madrid, Spain","Department of Electronic Engineering, East China Institute of Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department SSR, UPM, Madrid, Spain","institution_ids":[]},{"raw_affiliation_string":"Department of Electronic Engineering, East China Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073551243","display_name":"Dao-Rong Yu","orcid":null},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Dao-Rong Yu","raw_affiliation_strings":["Department One, 28th Research Institute, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department One, 28th Research Institute, Nanjing, China","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.171,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":14,"citation_normalized_percentile":{"value":0.780283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":"41","issue":"2","first_page":"849","last_page":"857"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9984,"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":0.9984,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.995,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9938,"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/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.7211443}],"concepts":[{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.7211443},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6527293},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.57104445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.57000315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.50446665},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4793121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43702114},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4145653},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36971968},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23763314},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/78.193222","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1577390347","https://openalex.org/W1981145803","https://openalex.org/W1991389415","https://openalex.org/W2025737576","https://openalex.org/W2062119563","https://openalex.org/W2078498116","https://openalex.org/W2079321251","https://openalex.org/W2114220616","https://openalex.org/W2115844704","https://openalex.org/W2120753013","https://openalex.org/W2124374894","https://openalex.org/W2149934012","https://openalex.org/W2169327696","https://openalex.org/W2324369761","https://openalex.org/W4233105769","https://openalex.org/W4237528144","https://openalex.org/W4298264812"],"related_works":["https://openalex.org/W4285069850","https://openalex.org/W4240963716","https://openalex.org/W2900794160","https://openalex.org/W2891970004","https://openalex.org/W2321918740","https://openalex.org/W2154273227","https://openalex.org/W1996916724","https://openalex.org/W1974634278","https://openalex.org/W1776186222","https://openalex.org/W1596637634"],"abstract_inverted_index":{"An":[0],"unbiased":[1],"and":[2,24,35,60,73,91,104],"computationally":[3],"efficient":[4],"modified":[5],"least":[6],"squares":[7],"(LS)":[8],"estimation":[9,71,81,102],"method":[10,32,67,88],"for":[11],"identifying":[12],"parameters":[13],"of":[14,27,30,89],"two-dimensional":[15],"noncausal":[16],"simultaneous":[17],"autoregressive":[18],"models":[19],"is":[20,44,96,105],"presented.":[21],"Some":[22],"intuitive":[23],"mathematical":[25],"proof":[26],"the":[28,31,53,57,61,66,78,85,94,100],"unbiasedness":[29],"are":[33,49],"given,":[34],"a":[36],"recursive":[37],"in-order":[38],"fast":[39],"algorithm":[40],"to":[41,51,84],"implement":[42],"it":[43],"introduced.":[45],"Computer":[46],"simulation":[47,63],"results":[48],"given":[50],"sustain":[52],"theoretical":[54,58],"analysis.":[55],"Both":[56],"analysis":[59],"computer":[62],"show":[64],"that":[65],"possesses":[68],"much":[69,97],"higher":[70],"accuracy":[72],"lower":[74],"computational":[75],"complexity":[76],"than":[77],"conventional":[79],"LS":[80],"method.":[82],"Compared":[83],"approximate":[86],"maximum-likelihood":[87],"Kashyap":[90],"Chellappa":[92],"(1983),":[93],"scheme":[95],"faster,":[98],"has":[99],"same":[101],"accuracy,":[103],"parallelizable.<":[106],">":[109]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2115476117","counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-03-19T17:06:16.542155","created_date":"2016-06-24"}