{"id":"https://openalex.org/W4323521028","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051968","title":"Joint Signal Estimation and Nonlinear Topology Identification from Noisy Data with Missing Entries","display_name":"Joint Signal Estimation and Nonlinear Topology Identification from Noisy Data with Missing Entries","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323521028","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051968"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10051968","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10051968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-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/A5007481525","display_name":"Kevin Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kevin Roy","raw_affiliation_strings":["University of Agder,WISENET Center, Department of ICT,Grimstad,Norway","WISENET Center, Department of ICT, University of Agder, Grimstad, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Agder,WISENET Center, Department of ICT,Grimstad,Norway","institution_ids":["https://openalex.org/I200650556"]},{"raw_affiliation_string":"WISENET Center, Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075672443","display_name":"Luis M. L\u00f3pez-Ramos","orcid":"https://orcid.org/0000-0001-8072-3994"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]},{"id":"https://openalex.org/I4210153474","display_name":"Simula Metropolitan Center for Digital Engineering","ror":"https://ror.org/04xtarr15","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I184531372","https://openalex.org/I2799829267","https://openalex.org/I4210153474"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Luis Miguel Lopez-Ramos","raw_affiliation_strings":["University of Agder,WISENET Center, Department of ICT,Grimstad,Norway","WISENET Center, Department of ICT, University of Agder, Grimstad, Norway","HOST Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Agder,WISENET Center, Department of ICT,Grimstad,Norway","institution_ids":["https://openalex.org/I200650556"]},{"raw_affiliation_string":"WISENET Center, Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]},{"raw_affiliation_string":"HOST Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway","institution_ids":["https://openalex.org/I4210153474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047173758","display_name":"Baltasar Beferull\u2010Lozano","orcid":"https://orcid.org/0000-0002-0902-6245"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]},{"id":"https://openalex.org/I4210153474","display_name":"Simula Metropolitan Center for Digital Engineering","ror":"https://ror.org/04xtarr15","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I184531372","https://openalex.org/I2799829267","https://openalex.org/I4210153474"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Baltasar Beferull-Lozano","raw_affiliation_strings":["University of Agder,WISENET Center, Department of ICT,Grimstad,Norway","WISENET Center, Department of ICT, University of Agder, Grimstad, Norway","SIGIPRO Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Agder,WISENET Center, Department of ICT,Grimstad,Norway","institution_ids":["https://openalex.org/I200650556"]},{"raw_affiliation_string":"WISENET Center, Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]},{"raw_affiliation_string":"SIGIPRO Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway","institution_ids":["https://openalex.org/I4210153474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4982,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58994027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"436","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5790563821792603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5321162343025208},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5227786898612976},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.47049617767333984},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.46731823682785034},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4546906352043152},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.4342668056488037},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4291209578514099},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4039270877838135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3511148691177368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26024991273880005}],"concepts":[{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5790563821792603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5321162343025208},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5227786898612976},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.47049617767333984},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46731823682785034},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4546906352043152},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.4342668056488037},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4291209578514099},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4039270877838135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3511148691177368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26024991273880005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf56349.2022.10051968","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10051968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1542447579","https://openalex.org/W2083174272","https://openalex.org/W2115706991","https://openalex.org/W2207202256","https://openalex.org/W2798585159","https://openalex.org/W2804375450","https://openalex.org/W2809777473","https://openalex.org/W2944916185","https://openalex.org/W2973013421","https://openalex.org/W3112870281","https://openalex.org/W3133777397","https://openalex.org/W3175755326","https://openalex.org/W3197577579"],"related_works":["https://openalex.org/W2117229703","https://openalex.org/W3120756218","https://openalex.org/W2171218219","https://openalex.org/W2395088808","https://openalex.org/W1972271943","https://openalex.org/W2554472417","https://openalex.org/W1975417825","https://openalex.org/W2561368111","https://openalex.org/W2066604793","https://openalex.org/W2951054300"],"abstract_inverted_index":{"Topology":[0],"identification":[1,64],"from":[2,32],"multiple":[3],"time":[4],"series":[5],"has":[6,48],"been":[7,49],"proved":[8,26],"to":[9,58,74],"be":[10],"useful":[11],"for":[12,51],"system":[13],"identification,":[14],"anomaly":[15],"detection,":[16],"denoising,":[17],"and":[18,45,62,94,114],"data":[19,126],"completion.":[20],"Vector":[21],"autoregressive":[22],"(VAR)":[23],"methods":[24],"have":[25],"well":[27],"in":[28,40,90],"identifying":[29,130],"directed":[30],"topology":[31,39,63],"complex":[33],"networks.":[34],"The":[35],"task":[36],"of":[37,43,100,132],"inferring":[38],"the":[41,78,129,133],"presence":[42],"noise":[44],"missing":[46],"observations":[47],"studied":[50],"linear":[52],"models.":[53],"As":[54],"a":[55,66,72,86,91,98],"first":[56],"approach":[57],"joint":[59],"signal":[60],"estimation":[61],"with":[65,111],"nonlinear":[67],"model,":[68],"this":[69],"paper":[70],"proposes":[71],"method":[73],"do":[75],"so":[76],"under":[77],"modelling":[79],"assumption":[80],"that":[81],"signals":[82],"are":[83],"generated":[84],"by":[85,97],"sparse":[87],"VAR":[88],"model":[89],"latent":[92],"space":[93],"then":[95],"transformed":[96],"set":[99],"invertible,":[101],"component-wise":[102],"nonlinearities.":[103],"A":[104],"non":[105],"convex":[106],"optimization":[107],"problem":[108],"is":[109],"formed":[110],"lasso":[112],"regularisation":[113],"solved":[115],"via":[116],"block":[117],"coordinate":[118],"descent":[119],"(BCD).":[120],"Initial":[121],"experiments":[122],"conducted":[123],"on":[124],"synthetic":[125],"sets":[127],"show":[128],"capability":[131],"proposed":[134],"method.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
