{"id":"https://openalex.org/W2014794705","doi":"https://doi.org/10.1080/03081070310001599166","title":"Cumulant-based inverse filters for blind deconvolution","display_name":"Cumulant-based inverse filters for blind deconvolution","publication_year":2003,"publication_date":"2003-09-23","ids":{"openalex":"https://openalex.org/W2014794705","doi":"https://doi.org/10.1080/03081070310001599166","mag":"2014794705"},"language":"en","primary_location":{"id":"doi:10.1080/03081070310001599166","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03081070310001599166","pdf_url":null,"source":{"id":"https://openalex.org/S145553572","display_name":"International Journal of General Systems","issn_l":"0308-1079","issn":["0308-1079","1026-7492","1563-5104"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of General Systems","raw_type":"journal-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/A5102892772","display_name":"Adnan Al\u2010Smadi","orcid":"https://orcid.org/0000-0003-3796-6805"},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES","GB"],"is_corresponding":true,"raw_author_name":"Adnan Al-Smadi","raw_affiliation_strings":["Correspondencesmadi98@yahoo.com"],"affiliations":[{"raw_affiliation_string":"Correspondencesmadi98@yahoo.com","institution_ids":["https://openalex.org/I1325784139","https://openalex.org/I2800095910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102892772"],"corresponding_institution_ids":["https://openalex.org/I1325784139","https://openalex.org/I2800095910"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.15485791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"32","issue":"5","first_page":"503","last_page":"515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.991100013256073,"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/overdetermined-system","display_name":"Overdetermined system","score":0.7017471790313721},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.6854012608528137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6441411375999451},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6024193167686462},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.571928858757019},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.57066410779953},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.5688039064407349},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5494878888130188},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5392462611198425},{"id":"https://openalex.org/keywords/inverse-filter","display_name":"Inverse filter","score":0.5223042368888855},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5184521079063416},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.47653254866600037},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.4752980172634125},{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.46517324447631836},{"id":"https://openalex.org/keywords/linear-filter","display_name":"Linear filter","score":0.4578285813331604},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4167289733886719},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4135821461677551},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.36546000838279724},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3456031084060669},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3185054361820221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30672329664230347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2294873297214508},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.21227604150772095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17102280259132385},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1431034803390503},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.11085698008537292},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09721428155899048}],"concepts":[{"id":"https://openalex.org/C81901731","wikidata":"https://www.wikidata.org/wiki/Q331348","display_name":"Overdetermined system","level":2,"score":0.7017471790313721},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.6854012608528137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6441411375999451},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6024193167686462},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.571928858757019},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.57066410779953},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.5688039064407349},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5494878888130188},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5392462611198425},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.5223042368888855},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5184521079063416},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.47653254866600037},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.4752980172634125},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.46517324447631836},{"id":"https://openalex.org/C139722471","wikidata":"https://www.wikidata.org/wiki/Q2619517","display_name":"Linear filter","level":3,"score":0.4578285813331604},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4167289733886719},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4135821461677551},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.36546000838279724},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3456031084060669},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3185054361820221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30672329664230347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2294873297214508},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.21227604150772095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17102280259132385},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1431034803390503},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.11085698008537292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09721428155899048},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03081070310001599166","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03081070310001599166","pdf_url":null,"source":{"id":"https://openalex.org/S145553572","display_name":"International Journal of General Systems","issn_l":"0308-1079","issn":["0308-1079","1026-7492","1563-5104"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of General Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W607467417","https://openalex.org/W1970175850","https://openalex.org/W2029027380","https://openalex.org/W2039066387","https://openalex.org/W2070557640","https://openalex.org/W2114018052","https://openalex.org/W2122518971","https://openalex.org/W2124257686","https://openalex.org/W2131903070","https://openalex.org/W2132633839","https://openalex.org/W2135139835","https://openalex.org/W2150642605","https://openalex.org/W2168719458","https://openalex.org/W4246832937"],"related_works":["https://openalex.org/W4382516418","https://openalex.org/W2990591761","https://openalex.org/W2035317922","https://openalex.org/W2049631167","https://openalex.org/W2118424379","https://openalex.org/W4235581285","https://openalex.org/W2065228305","https://openalex.org/W1994154258","https://openalex.org/W2024449910","https://openalex.org/W2163846876"],"abstract_inverted_index":{"Blind":[0,21],"deconvolution":[1,22],"of":[2,28,37,61,78,86,97,104,112,136,152,155,157],"linear":[3,99],"time-invariant":[4],"(LTI)":[5],"systems":[6],"has":[7],"received":[8],"wide":[9],"attention":[10],"in":[11,59,83,109],"various":[12],"fields":[13],"such":[14],"as":[15],"data":[16],"communication":[17],"and":[18,139],"image":[19],"processing.":[20],"is":[23,57,71,121],"concerned":[24],"with":[25,142],"the":[26,46,51,84,105,110,134,150,153,158],"estimation":[27],"a":[29,34,42,79,95,122,143],"desired":[30,47],"input":[31,48,159],"signal":[32],"from":[33,49],"given":[35,58,106],"set":[36,96],"measurements.":[38],"This":[39,69],"paper":[40],"presents":[41],"technique":[43,70],"for":[44],"reconstructing":[45],"only":[50],"available":[52],"corrupted":[53],"data.":[54],"The":[55,92,118],"estimator":[56],"terms":[60],"an":[62],"autoregressive":[63],"moving":[64],"average":[65],"(ARMA)":[66],"innovation":[67],"model.":[68],"based":[72,147],"on":[73,148],"higher":[74],"order":[75],"statistics":[76],"(HOS)":[77],"non-Gaussian":[80,90,107,116],"output":[81],"sequence":[82],"presence":[85,111],"additive":[87,113],"Gaussian":[88,114],"or":[89,115],"noise.":[91,117],"algorithm":[93,146],"solves":[94],"overdetermined":[98],"equations":[100],"using":[101],"third-order":[102],"cumulants":[103],"measurements":[108],"inverse":[119],"filter":[120],"finite":[123],"impulse":[124],"response":[125],"(FIR)":[126],"filter.":[127],"Simulation":[128],"results":[129],"are":[130],"provided":[131],"to":[132],"show":[133],"effectiveness":[135],"this":[137],"method":[138],"compare":[140],"it":[141],"recently":[144],"developed":[145],"maximizing":[149],"magnitude":[151],"kurtosis":[154],"estimate":[156],"excitation.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}