{"id":"https://openalex.org/W3205370115","doi":"https://doi.org/10.1016/j.ifacol.2022.09.096","title":"Computing Semilinear Sparse Models for Approximately Eventually Periodic Signals","display_name":"Computing Semilinear Sparse Models for Approximately Eventually Periodic Signals","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3205370115","doi":"https://doi.org/10.1016/j.ifacol.2022.09.096","mag":"3205370115"},"language":"en","primary_location":{"id":"doi:10.1016/j.ifacol.2022.09.096","doi":"https://doi.org/10.1016/j.ifacol.2022.09.096","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ifacol.2022.09.096","pdf_url":null,"source":{"id":"https://openalex.org/S2898405271","display_name":"IFAC-PapersOnLine","issn_l":"2405-8963","issn":["2405-8963","2405-8971"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFAC-PapersOnLine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.ifacol.2022.09.096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083296095","display_name":"Fredy Vides","orcid":"https://orcid.org/0000-0003-0029-7273","observed_orcids":["https://orcid.org/0000-0003-0029-7273"]},"institutions":[{"id":"https://openalex.org/I169009895","display_name":"National Autonomous University of Honduras","ror":"https://ror.org/03xyve152","country_code":"HN","type":"education","lineage":["https://openalex.org/I169009895"]}],"countries":["HN"],"is_corresponding":true,"raw_author_name":"Fredy Vides","raw_affiliation_strings":["Scientific Computing Innovation Center, Universidad Nacional Aut\u00f3noma de Honduras, Tegucigalpa, Honduras"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scientific Computing Innovation Center, Universidad Nacional Aut\u00f3noma de Honduras, Tegucigalpa, Honduras","institution_ids":["https://openalex.org/I169009895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083296095"],"corresponding_institution_ids":["https://openalex.org/I169009895"],"apc_list":{"value":0,"currency":"USD","value_usd":0},"apc_paid":null,"fwci":0.2321,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.35160576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"55","issue":"20","first_page":"205","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.4765999913215637,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.4765999913215637,"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/T11236","display_name":"Control Systems and Identification","score":0.41429999470710754,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.02889999933540821,"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/discrete-time-signals","display_name":"discrete-time signals","score":0.8019999861717224},{"id":"https://openalex.org/keywords/sparse-representation","display_name":"sparse representation","score":0.9049999713897705},{"id":"https://openalex.org/keywords/linear-autoregressive-models","display_name":"linear autoregressive models","score":0.9940000176429749},{"id":"https://openalex.org/keywords/gru-neural-network","display_name":"GRU neural network","score":0.9620000123977661},{"id":"https://openalex.org/keywords/block-model","display_name":"block model","score":0.6779999732971191},{"id":"https://openalex.org/keywords/mixing-parameters","display_name":"mixing parameters","score":0.8370000123977661},{"id":"https://openalex.org/keywords/signal-modeling","display_name":"signal modeling","score":0.6290000081062317}],"concepts":[{"id":"https://openalex.org/C104247578","wikidata":"https://www.wikidata.org/wiki/Q4779368","display_name":"Aperiodic graph","level":2,"score":0.8100473880767822},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6639532446861267},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6140339970588684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6009044051170349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5147759914398193},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5110431909561157},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.506261944770813},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4936028718948364},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4779896140098572},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46437233686447144},{"id":"https://openalex.org/C146749787","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete-time signal","level":5,"score":0.45383360981941223},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43762141466140747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43746837973594666},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.37443792819976807},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.09239524602890015},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"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/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.ifacol.2022.09.096","doi":"https://doi.org/10.1016/j.ifacol.2022.09.096","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ifacol.2022.09.096","pdf_url":null,"source":{"id":"https://openalex.org/S2898405271","display_name":"IFAC-PapersOnLine","issn_l":"2405-8963","issn":["2405-8963","2405-8971"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFAC-PapersOnLine","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2110.08966","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.08966","pdf_url":"https://arxiv.org/pdf/2110.08966","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2110.08966","doi":"https://doi.org/10.48550/arxiv.2110.08966","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2110.08966","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1016/j.ifacol.2022.09.096","doi":"https://doi.org/10.1016/j.ifacol.2022.09.096","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ifacol.2022.09.096","pdf_url":null,"source":{"id":"https://openalex.org/S2898405271","display_name":"IFAC-PapersOnLine","issn_l":"2405-8963","issn":["2405-8963","2405-8971"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFAC-PapersOnLine","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3535347462","display_name":null,"funder_award_id":"PI-063-DICIHT","funder_id":"https://openalex.org/F4320329678","funder_display_name":"Universidad Nacional Autonoma de Honduras"}],"funders":[{"id":"https://openalex.org/F4320329678","display_name":"Universidad Nacional Autonoma de Honduras","ror":"https://ror.org/03xyve152"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205370115.pdf","grobid_xml":"https://content.openalex.org/works/W3205370115.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W385004530","https://openalex.org/W1563653928","https://openalex.org/W2117014758","https://openalex.org/W2157331557","https://openalex.org/W2620661538","https://openalex.org/W2930957955","https://openalex.org/W2970971581","https://openalex.org/W3118260203","https://openalex.org/W3161247508","https://openalex.org/W6633639304"],"related_works":["https://openalex.org/W3148504923","https://openalex.org/W2568148659","https://openalex.org/W2356466578","https://openalex.org/W2409080982","https://openalex.org/W2154764311","https://openalex.org/W1584631603","https://openalex.org/W2016607537","https://openalex.org/W7095471146","https://openalex.org/W7096411983","https://openalex.org/W2092733016"],"abstract_inverted_index":{"Some":[0,138],"elements":[1],"of":[2,11,45,106,110,125,127,130,132],"the":[3,9,111,116,121,128,133],"theory":[4],"and":[5,47,70],"algorithmics":[6],"corresponding":[7,86],"to":[8,87,100],"computation":[10],"semilinear":[12,54],"sparse":[13,64,123],"models":[14,55,69],"for":[15,41],"discrete-time":[16,30],"signals":[17,34],"are":[18,60,96,136,142],"presented.":[19],"In":[20],"this":[21,58],"study,":[22],"we":[23],"will":[24],"focus":[25],"on":[26],"approximately":[27,50],"eventually":[28],"periodic":[29,51],"signals,":[31],"that":[32,35],"is,":[33],"can":[36],"exhibit":[37],"an":[38,42],"aperiodic":[39],"behavior":[40],"initial":[43],"amount":[44],"time,":[46],"then":[48],"become":[49],"afterwards.":[52],"The":[53],"considered":[56],"in":[57,98],"study":[59],"obtained":[61],"by":[62],"combining":[63],"representation":[65],"methods,":[66],"linear":[67,108],"autoregressive":[68],"GRU":[71],"neural":[72],"network":[73],"models.":[74],"Firstly,":[75],"each":[76],"block":[77],"model":[78,104,135],"is":[79],"fitted":[80,113],"independently,":[81],"using":[82,115],"some":[83,88,93,126],"reference":[84,118],"data":[85],"signal":[89,103],"under":[90],"consideration.":[91],"Secondly,":[92],"mixing":[94],"parameters":[95,131],"fitted,":[97],"order":[99],"obtain":[101],"a":[102,107],"consisting":[105],"combination":[109],"previously":[112],"blocks,":[114],"aforementioned":[117],"data.":[119],"Along":[120],"process,":[122],"representations":[124],"matrices":[129],"resulting":[134],"computed.":[137],"prototypical":[139],"computational":[140],"implementations":[141],"presented":[143],"as":[144],"well.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-10-25T00:00:00"}