{"id":"https://openalex.org/W2964280757","doi":"https://doi.org/10.23919/eusipco.2018.8553229","title":"Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs","display_name":"Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2964280757","doi":"https://doi.org/10.23919/eusipco.2018.8553229","mag":"2964280757"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553229","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","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/A5114429894","display_name":"Chang Ye","orcid":"https://orcid.org/0000-0003-4026-3254"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Ye","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062141963","display_name":"Rasoul Shafipour","orcid":"https://orcid.org/0000-0002-2996-2671"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rasoul Shafipour","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006078163","display_name":"Gonzalo Mateos","orcid":"https://orcid.org/0000-0002-9847-6298"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo Mateos","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.3276,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70506825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"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/T12676","display_name":"Machine Learning and ELM","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/invertible-matrix","display_name":"Invertible matrix","score":0.7137681841850281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6195782423019409},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5164637565612793},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4883250892162323},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.44503557682037354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4063548445701599},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31936079263687134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29129284620285034},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1557612121105194}],"concepts":[{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.7137681841850281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6195782423019409},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5164637565612793},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4883250892162323},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.44503557682037354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4063548445701599},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31936079263687134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29129284620285034},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1557612121105194},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2018.8553229","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1600905319","https://openalex.org/W1848983290","https://openalex.org/W1991252559","https://openalex.org/W1998692453","https://openalex.org/W2107861471","https://openalex.org/W2130359405","https://openalex.org/W2130466555","https://openalex.org/W2140867429","https://openalex.org/W2159929956","https://openalex.org/W2161804069","https://openalex.org/W2182708456","https://openalex.org/W2288693043","https://openalex.org/W2297703471","https://openalex.org/W2305552472","https://openalex.org/W2343770596","https://openalex.org/W2510842841","https://openalex.org/W2516015953","https://openalex.org/W2594299404","https://openalex.org/W2611356371","https://openalex.org/W2616297073","https://openalex.org/W2659659335","https://openalex.org/W2772282838","https://openalex.org/W2963912922","https://openalex.org/W2964105372","https://openalex.org/W3104684837","https://openalex.org/W4250134109","https://openalex.org/W6966828406"],"related_works":["https://openalex.org/W4251428025","https://openalex.org/W4289867043","https://openalex.org/W2784467519","https://openalex.org/W2366459771","https://openalex.org/W1973736094","https://openalex.org/W4385627933","https://openalex.org/W2532801570","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,82,103,116],"the":[4,20,36,42,50,91,98,108,112,122,125,131,139],"problem":[5],"of":[6,9,22,26,41,49,71,124,133,142,144],"blind":[7,24],"identification":[8],"a":[10,44],"graph":[11,33],"filter":[12,51],"and":[13,28,118],"its":[14],"sparse":[15],"input":[16],"signal,":[17],"thus":[18],"broadening":[19],"scope":[21],"classical":[23],"deconvolution":[25],"temporal":[27],"spatial":[29],"signals":[30,136],"to":[31,66,137],"irregular":[32],"domains.":[34],"While":[35],"observations":[37],"are":[38,100],"bilinear":[39],"functions":[40],"unknowns,":[43],"mild":[45],"requirement":[46],"on":[47,59],"invertibility":[48],"enables":[52],"an":[53],"efficient":[54],"convex":[55,93],"formulation,":[56],"without":[57],"relying":[58],"matrix":[60],"lifting":[61],"that":[62,76],"can":[63,95],"hinder":[64],"applicability":[65],"large":[67],"graphs.":[68,85],"On":[69],"top":[70],"scaling,":[72],"it":[73],"is":[74],"argued":[75],"(non-cyclic)":[77],"permutation":[78],"ambiguities":[79],"may":[80],"arise":[81],"some":[83],"particular":[84],"Deterministic":[86],"sufficient":[87],"conditions":[88],"under":[89,107],"which":[90],"proposed":[92,126],"relaxation":[94],"exactly":[96],"recover":[97],"unknowns":[99],"stated,":[101],"along":[102],"those":[104],"guaranteeing":[105],"identifiability":[106],"Bernoulli-Gaussian":[109],"model":[110],"for":[111],"inputs.":[113],"Numerical":[114],"tests":[115],"synthetic":[117],"real-world":[119],"networks":[120],"illustrate":[121],"merits":[123],"algorithm,":[127],"as":[128,130],"well":[129],"benefits":[132],"leveraging":[134],"multiple":[135],"aid":[138],"(blind)":[140],"localization":[141],"sources":[143],"diffusion.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}