{"id":"https://openalex.org/W2359766126","doi":"https://doi.org/10.1109/tsmc.2015.2476487","title":"Laplace Autoregressive Model for Cascaded Systems","display_name":"Laplace Autoregressive Model for Cascaded Systems","publication_year":2015,"publication_date":"2015-09-23","ids":{"openalex":"https://openalex.org/W2359766126","doi":"https://doi.org/10.1109/tsmc.2015.2476487","mag":"2359766126"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2015.2476487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2015.2476487","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: 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/A5008260974","display_name":"Tadesse Ghirmai","orcid":"https://orcid.org/0000-0002-6564-745X"},"institutions":[{"id":"https://openalex.org/I4210138624","display_name":"University of Washington Bothell","ror":"https://ror.org/02ygzhr13","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138624"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tadesse Ghirmai","raw_affiliation_strings":["School of Science, Technology, Engineering and Mathematics, Division of Engineering and Mathematics, University of Washington Bothell, Bothell, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Technology, Engineering and Mathematics, Division of Engineering and Mathematics, University of Washington Bothell, Bothell, WA, USA","institution_ids":["https://openalex.org/I4210138624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008260974"],"corresponding_institution_ids":["https://openalex.org/I4210138624"],"apc_list":null,"apc_paid":null,"fwci":0.3385,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69631162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"46","issue":"6","first_page":"771","last_page":"781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.8539935350418091},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.7543138861656189},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.7192153334617615},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6951547861099243},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5188125967979431},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.513468325138092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4361855387687683},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4314735531806946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38514137268066406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2284725308418274},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1903761327266693},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08646529912948608},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08385708928108215}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8539935350418091},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7543138861656189},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.7192153334617615},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6951547861099243},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5188125967979431},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.513468325138092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4361855387687683},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4314735531806946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38514137268066406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2284725308418274},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1903761327266693},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08646529912948608},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08385708928108215},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2015.2476487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2015.2476487","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1966847343","https://openalex.org/W1978026911","https://openalex.org/W1994463554","https://openalex.org/W2010628112","https://openalex.org/W2014933333","https://openalex.org/W2017830666","https://openalex.org/W2041975885","https://openalex.org/W2058826359","https://openalex.org/W2070480153","https://openalex.org/W2074690886","https://openalex.org/W2088042007","https://openalex.org/W2105380261","https://openalex.org/W2108757649","https://openalex.org/W2112500831","https://openalex.org/W2121275040","https://openalex.org/W2121513249","https://openalex.org/W2125769353","https://openalex.org/W2126086670","https://openalex.org/W2145979309","https://openalex.org/W2150597017","https://openalex.org/W2155920475","https://openalex.org/W2157293015","https://openalex.org/W2161925986","https://openalex.org/W3106063097","https://openalex.org/W6682034319"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W1566155057","https://openalex.org/W2052574922","https://openalex.org/W1982721348","https://openalex.org/W1493644805","https://openalex.org/W2371489490","https://openalex.org/W2130417215","https://openalex.org/W2047880019"],"abstract_inverted_index":{"System":[0],"modeling":[1],"problems,":[2],"such":[3],"as":[4],"the":[5,29,35,48,99,105,118,130,151,158,161,173,176],"channel":[6],"of":[7,20,37,69,104,110,117,150,160,169,178],"a":[8,14,18,54,63,86,111,115,135],"single-hop":[9],"relay":[10],"communication":[11],"system":[12,31,38,50,65,112],"in":[13],"flat-fading":[15],"environment,":[16],"require":[17],"cascade":[19,64,116],"two":[21,75,119],"or":[22],"more":[23,45],"autoregressive":[24],"(AR)":[25],"processes":[26,123],"to":[27,128,145],"capture":[28],"entire":[30,49],"characteristics.":[32],"However,":[33],"for":[34,175],"purpose":[36],"simulation":[39],"and":[40,82,107,171],"parameter":[41],"estimations,":[42],"it":[43,84],"is":[44,51,72],"convenient":[46],"if":[47],"modeled":[52],"by":[53,74,85,114],"single":[55,87,136],"AR":[56,80,90,122,139,164],"model.":[57],"In":[58,92],"this":[59],"paper,":[60],"we":[61,95,133,155],"consider":[62],"whose":[66,141],"statistical":[67,148],"characteristics":[68,149],"its":[70,179],"subsystems":[71],"represented":[73],"independent":[76],"pth-order":[77,88],"complex":[78,120,137],"Gaussian":[79,121],"processes,":[81],"model":[83,129],"Laplace":[89,125,138,163],"process.":[91],"our":[93],"analysis,":[94],"first":[96],"demonstrate":[97],"that":[98,157],"marginal":[100],"probability":[101],"distribution":[102],"functions":[103],"real":[106],"imaginary":[108],"components":[109],"described":[113],"are":[124,143],"distributed.":[126],"Then,":[127],"cascaded":[131,152],"system,":[132],"develop":[134],"process":[140,165],"parameters":[142,180],"configured":[144],"match":[146],"other":[147],"system.":[153],"Specifically,":[154],"show":[156],"autocorrelation":[159,182],"developed":[162],"satisfies":[166],"Yule-Walker":[167],"type":[168],"equations":[170],"derive":[172],"steps":[174],"design":[177],"through":[181],"matching.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}