{"id":"https://openalex.org/W2482093979","doi":"https://doi.org/10.1109/lsp.2016.2594072","title":"A Spectral Method for Generating Surrogate Graph Signals","display_name":"A Spectral Method for Generating Surrogate Graph Signals","publication_year":2016,"publication_date":"2016-07-26","ids":{"openalex":"https://openalex.org/W2482093979","doi":"https://doi.org/10.1109/lsp.2016.2594072","mag":"2482093979"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2594072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2594072","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/222167","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018322134","display_name":"Elvira Pirondini","orcid":"https://orcid.org/0000-0002-8078-3951"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"E. Pirondini","raw_affiliation_strings":["Bertarelli Foundation Chair in Translational Neuroengineering, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Bertarelli Foundation Chair in Translational Neuroengineering, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079646665","display_name":"Anastasia Vybornova","orcid":"https://orcid.org/0000-0002-0320-7117"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"A. Vybornova","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044218957","display_name":"Martina Coscia","orcid":"https://orcid.org/0000-0002-0280-3486"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"M. Coscia","raw_affiliation_strings":["Bertarelli Foundation Chair in Translational Neuroengineering, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Bertarelli Foundation Chair in Translational Neuroengineering, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003693672","display_name":"Dimitri Van De Ville","orcid":"https://orcid.org/0000-0002-2879-3861"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]},{"id":"https://openalex.org/I4210160687","display_name":"Wyss Center for Bio and Neuroengineering","ror":"https://ror.org/05tg4dc47","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I4210160687"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"D. Van De Ville","raw_affiliation_strings":["Center for Neuroprosthetics, Institute of Bioengineering, Lausanne, Switzerland","Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"Center for Neuroprosthetics, Institute of Bioengineering, Lausanne, Switzerland","institution_ids":["https://openalex.org/I4210160687"]},{"raw_affiliation_string":"Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018322134"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":2.9015,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91334197,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"9","first_page":"1275","last_page":"1278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.509026288986206},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5054681301116943},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4970588982105255},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.4708858132362366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45630449056625366},{"id":"https://openalex.org/keywords/surrogate-data","display_name":"Surrogate data","score":0.43163543939590454},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.42837047576904297},{"id":"https://openalex.org/keywords/null-graph","display_name":"Null graph","score":0.42816078662872314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36704427003860474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33660995960235596},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29392120242118835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26090553402900696},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.21397888660430908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.509026288986206},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5054681301116943},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4970588982105255},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.4708858132362366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45630449056625366},{"id":"https://openalex.org/C142806159","wikidata":"https://www.wikidata.org/wiki/Q7646876","display_name":"Surrogate data","level":3,"score":0.43163543939590454},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.42837047576904297},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.42816078662872314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36704427003860474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33660995960235596},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29392120242118835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26090553402900696},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.21397888660430908},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/lsp.2016.2594072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2594072","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:unige.ch:unige:95521","is_oa":false,"landing_page_url":"https://archive-ouverte.unige.ch/unige:95521","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISSN: 1070-9908","raw_type":"Text"},{"id":"pmh:oai:infoscience.epfl.ch:222167","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/222167","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.tind.io:222167","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/130288","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"research article"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:222167","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/222167","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1764144999","https://openalex.org/W1967970656","https://openalex.org/W2016423476","https://openalex.org/W2034614101","https://openalex.org/W2064855647","https://openalex.org/W2087502871","https://openalex.org/W2098746383","https://openalex.org/W2101491865","https://openalex.org/W2102219826","https://openalex.org/W2112688502","https://openalex.org/W2126455177","https://openalex.org/W2135894974","https://openalex.org/W2139522444","https://openalex.org/W2158787690","https://openalex.org/W2161763921","https://openalex.org/W2235146554","https://openalex.org/W2963355980","https://openalex.org/W4205502210","https://openalex.org/W6675647504","https://openalex.org/W6689742082"],"related_works":["https://openalex.org/W2954009223","https://openalex.org/W1557011063","https://openalex.org/W4318995835","https://openalex.org/W2483136700","https://openalex.org/W2186620206","https://openalex.org/W2964146318","https://openalex.org/W3134586934","https://openalex.org/W4379539820","https://openalex.org/W153309283","https://openalex.org/W2793949464"],"abstract_inverted_index":{"The":[0,63,96],"increasing":[1],"availability":[2],"of":[3,14,40,69,79,99],"network":[4],"data":[5,101],"is":[6,28,65,90],"leading":[7],"to":[8,26,53],"a":[9,55,115,118],"growing":[10],"interest":[11],"in":[12],"processing":[13],"signals":[15,83],"on":[16,67,86],"graphs.":[17],"One":[18],"notable":[19],"tool":[20],"for":[21,58,107],"extending":[22],"conventional":[23],"signal-processing":[24],"operations":[25],"networks":[27],"the":[29,38,41,49,70,76,80,87,93],"graph":[30,42,50,61,71,82,88],"Fourier":[31,51,72],"transform":[32,52],"that":[33],"can":[34,103],"be":[35,104],"obtained":[36],"as":[37],"eigendecomposition":[39],"Laplacian.":[43],"In":[44],"this":[45],"letter,":[46],"we":[47,113],"used":[48],"define":[54],"new":[56],"method":[57,98],"generating":[59],"surrogate":[60,81,100],"signals.":[62],"approach":[64],"based":[66],"sign-randomization":[68],"coefficients":[73],"and,":[74],"therefore,":[75],"correlation":[77],"structure":[78],"(i.e.,":[84],"smoothness":[85],"topology)":[89],"imposed":[91],"by":[92],"measured":[94],"data.":[95],"proposed":[97],"generation":[102],"widely":[105],"applied":[106],"nonparametric":[108],"statistical":[109],"hypothesis":[110],"testing.":[111],"Here,":[112],"showed":[114],"proof-of-concept":[116],"with":[117],"high-density":[119],"electroencephalography":[120],"dataset.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}