{"id":"https://openalex.org/W4392389672","doi":"https://doi.org/10.1109/isgt59692.2024.10454117","title":"Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics","display_name":"Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392389672","doi":"https://doi.org/10.1109/isgt59692.2024.10454117"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt59692.2024.10454117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.07814","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028247699","display_name":"Pooja Algikar","orcid":"https://orcid.org/0000-0003-1182-6222"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pooja Algikar","raw_affiliation_strings":["Electrical and Computer Engineering Northern Virginia Center, Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Northern Virginia Center, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073678278","display_name":"Lamine Mili","orcid":"https://orcid.org/0000-0001-6134-3945"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lamine Mili","raw_affiliation_strings":["Electrical and Computer Engineering Northern Virginia Center, Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Northern Virginia Center, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061482370","display_name":"Kiran Karra","orcid":"https://orcid.org/0000-0001-8072-4014"},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kiran Karra","raw_affiliation_strings":["Protocol Labs, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Protocol Labs, Los Angeles, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094051858","display_name":"Akash Algikar","orcid":null},"institutions":[],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akash Algikar","raw_affiliation_strings":["Synopsys Inc, Hyderabad, Telangana, India"],"affiliations":[{"raw_affiliation_string":"Synopsys Inc, Hyderabad, Telangana, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088758808","display_name":"Mohsen Ben Hassine","orcid":null},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohsen Ben Hassine","raw_affiliation_strings":["Department of Computer Science, University of El Manar, Tunisia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of El Manar, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.999,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.999,"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/T10860","display_name":"Speech and Audio Processing","score":0.977,"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":0.9439,"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/higher-order-statistics","display_name":"Higher-order statistics","score":0.43920022},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.42583373}],"concepts":[{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.80714554},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6068182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.53376395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.52124125},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.43920022},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.42583373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3866662},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32912573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2983598},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28116673},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2254053},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.19345537},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt59692.2024.10454117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2309.07814","pdf_url":"https://arxiv.org/pdf/2309.07814","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2309.07814","pdf_url":"https://arxiv.org/pdf/2309.07814","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W1484104892","https://openalex.org/W1500942658","https://openalex.org/W1701656893","https://openalex.org/W1979800130","https://openalex.org/W2053432650","https://openalex.org/W2061844155","https://openalex.org/W2077626982","https://openalex.org/W2123955637","https://openalex.org/W2142638745","https://openalex.org/W2155957805","https://openalex.org/W2166159048","https://openalex.org/W2657268502","https://openalex.org/W2741280792","https://openalex.org/W2916886267","https://openalex.org/W3023362976","https://openalex.org/W3154043991","https://openalex.org/W3210245062","https://openalex.org/W4225284605","https://openalex.org/W4296555292","https://openalex.org/W4297940214","https://openalex.org/W4366439415","https://openalex.org/W4385604861"],"related_works":["https://openalex.org/W2167420204","https://openalex.org/W2145781767","https://openalex.org/W2126828375","https://openalex.org/W2115703367","https://openalex.org/W2114514937","https://openalex.org/W2112591949","https://openalex.org/W2065456452","https://openalex.org/W2010359544","https://openalex.org/W1593767952","https://openalex.org/W1566278324"],"abstract_inverted_index":{"The":[0,87,95,115],"dynamics":[1],"of":[2,10,23,27,34,62,66,106,111,127,160],"a":[3,7,21,58,63],"power":[4,36],"system":[5],"with":[6],"significant":[8],"presence":[9],"renewable":[11],"energy":[12],"resources":[13,29],"are":[14,90],"growing":[15],"increasingly":[16],"nonlinear.":[17],"This":[18],"nonlinearity":[19,46],"is":[20,41,118],"result":[22],"the":[24,31,48,75,98,102,107,112,124,128,138,149],"intermittent":[25],"nature":[26],"these":[28,45],"and":[30,110,147],"switching":[32],"behavior":[33],"their":[35],"electronic":[37],"devices.":[38],"Therefore,":[39],"it":[40],"crucial":[42],"to":[43,92,120],"address":[44],"in":[47,158],"blind":[49,59,151],"source":[50,60,79,88,152],"separation":[51,61,153],"methods.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"linear":[64],"mixture":[65],"dependent":[67,156],"sources":[68,109,157],"based":[69,141],"on":[70,142],"copula":[71,84,103,143],"statistics":[72,144],"that":[73,137],"measure":[74],"non-linear":[76],"dependence":[77],"between":[78,101],"component":[80],"signals":[81,89],"structured":[82],"as":[83],"density":[85,104],"functions.":[86],"assumed":[91],"be":[93],"stationary.":[94],"method":[96,117,140,154],"minimizes":[97],"Kullback-Leibler":[99],"divergence":[100],"functions":[105],"estimated":[108],"dependency":[113],"structure.":[114],"proposed":[116,139],"applied":[119],"data":[121],"obtained":[122],"from":[123],"time-domain":[125],"analysis":[126],"classical":[129],"11-Bus":[130],"4-Machine":[131],"system.":[132],"Extensive":[133],"simulation":[134],"results":[135],"demonstrate":[136],"converges":[145],"faster":[146],"outperforms":[148],"state-of-the-art":[150],"for":[155],"terms":[159],"interference-to-signal":[161],"ratio.":[162]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4392389672","counts_by_year":[],"updated_date":"2024-12-14T03:55:53.077432","created_date":"2024-03-05"}