{"id":"https://openalex.org/W4407085025","doi":"https://doi.org/10.3390/computation13020031","title":"Blind Source Separation Using Time-Delayed Dynamic Mode Decomposition","display_name":"Blind Source Separation Using Time-Delayed Dynamic Mode Decomposition","publication_year":2025,"publication_date":"2025-02-01","ids":{"openalex":"https://openalex.org/W4407085025","doi":"https://doi.org/10.3390/computation13020031"},"language":"en","primary_location":{"id":"doi:10.3390/computation13020031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13020031","pdf_url":"https://www.mdpi.com/2079-3197/13/2/31/pdf","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-3197/13/2/31/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052775975","display_name":"Gyurhan H. Nedzhibov","orcid":"https://orcid.org/0000-0002-0474-1987"},"institutions":[{"id":"https://openalex.org/I39995536","display_name":"Shumen University","ror":"https://ror.org/03yht3k11","country_code":"BG","type":"education","lineage":["https://openalex.org/I39995536"]}],"countries":["BG"],"is_corresponding":true,"raw_author_name":"Gyurhan Nedzhibov","raw_affiliation_strings":["Faculty of Mathematics and Informatics, Shumen University, 9700 Shumen, Bulgaria"],"raw_orcid":"https://orcid.org/0000-0002-0474-1987","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Informatics, Shumen University, 9700 Shumen, Bulgaria","institution_ids":["https://openalex.org/I39995536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052775975"],"corresponding_institution_ids":["https://openalex.org/I39995536"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.5506,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86402498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":"2","first_page":"31","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9458000063896179,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9424999952316284,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.6935082077980042},{"id":"https://openalex.org/keywords/dynamic-mode-decomposition","display_name":"Dynamic mode decomposition","score":0.6273940205574036},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5349776744842529},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5251138806343079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4152376055717468},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.41297513246536255},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.16198840737342834},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09565988183021545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06017574667930603},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.05818620324134827}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6935082077980042},{"id":"https://openalex.org/C2777032711","wikidata":"https://www.wikidata.org/wiki/Q5318993","display_name":"Dynamic mode decomposition","level":2,"score":0.6273940205574036},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5349776744842529},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5251138806343079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4152376055717468},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.41297513246536255},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.16198840737342834},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09565988183021545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06017574667930603},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05818620324134827},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/computation13020031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13020031","pdf_url":"https://www.mdpi.com/2079-3197/13/2/31/pdf","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c085ed316cf4c26926ad2dac48cde3a","is_oa":true,"landing_page_url":"https://doaj.org/article/5c085ed316cf4c26926ad2dac48cde3a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computation, Vol 13, Iss 2, p 31 (2025)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2079-3197/13/2/31/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/computation13020031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pages: 31","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/computation13020031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13020031","pdf_url":"https://www.mdpi.com/2079-3197/13/2/31/pdf","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4407085025.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W285277413","https://openalex.org/W1549386224","https://openalex.org/W2014356541","https://openalex.org/W2058160332","https://openalex.org/W2071837712","https://openalex.org/W2078898317","https://openalex.org/W2123649031","https://openalex.org/W2124033264","https://openalex.org/W2124486835","https://openalex.org/W2135029798","https://openalex.org/W2141007728","https://openalex.org/W2142638745","https://openalex.org/W2151669316","https://openalex.org/W2155759219","https://openalex.org/W2163918688","https://openalex.org/W2551318894","https://openalex.org/W2564386551","https://openalex.org/W2613314665","https://openalex.org/W2806000515","https://openalex.org/W2888856843","https://openalex.org/W2889453039","https://openalex.org/W2907482035","https://openalex.org/W2920342961","https://openalex.org/W2963227409","https://openalex.org/W3012469837","https://openalex.org/W3015244520","https://openalex.org/W3019988632","https://openalex.org/W3024770484","https://openalex.org/W3040511988","https://openalex.org/W3196787944","https://openalex.org/W4205492891","https://openalex.org/W4205778870","https://openalex.org/W4206821030","https://openalex.org/W4225773934","https://openalex.org/W4231766098","https://openalex.org/W4238160257","https://openalex.org/W4241484401","https://openalex.org/W4243150401","https://openalex.org/W4285066481","https://openalex.org/W4286565902","https://openalex.org/W4292023222","https://openalex.org/W4310535472","https://openalex.org/W4310638450","https://openalex.org/W4385708242","https://openalex.org/W4387454209","https://openalex.org/W4388117343","https://openalex.org/W4391530215","https://openalex.org/W4391967139","https://openalex.org/W4395057357","https://openalex.org/W4400272587","https://openalex.org/W4402127741","https://openalex.org/W6608400250","https://openalex.org/W6661831334","https://openalex.org/W6809930514","https://openalex.org/W6839616926","https://openalex.org/W6857024797","https://openalex.org/W6858742083","https://openalex.org/W6870437418","https://openalex.org/W6873574234"],"related_works":["https://openalex.org/W2597763219","https://openalex.org/W2014356541","https://openalex.org/W2168222921","https://openalex.org/W2992578100","https://openalex.org/W4286695296","https://openalex.org/W3028908947","https://openalex.org/W2035021796","https://openalex.org/W2268351752","https://openalex.org/W2259410183","https://openalex.org/W3093542507"],"abstract_inverted_index":{"Blind":[0],"Source":[1],"Separation":[2],"(BSS)":[3],"is":[4],"a":[5],"significant":[6,55],"field":[7],"of":[8,63,82],"study":[9],"in":[10,16,52,127],"signal":[11,26,106],"processing,":[12,22],"with":[13,54],"many":[14],"applications":[15],"various":[17],"fields":[18],"such":[19,35],"as":[20,36],"audio":[21,105],"speech":[23],"recognition,":[24],"biomedical":[25],"analysis,":[27],"image":[28,108],"processing":[29],"and":[30,102,110],"communication":[31],"systems.":[32],"Traditional":[33],"methods,":[34],"Independent":[37],"Component":[38],"Analysis":[39],"(ICA),":[40],"often":[41],"rely":[42],"on":[43],"statistical":[44],"independence":[45],"assumptions,":[46],"which":[47],"may":[48],"limit":[49],"their":[50,92],"performance":[51,121],"systems":[53],"temporal":[56,93],"dynamics.":[57],"This":[58],"paper":[59],"introduces":[60],"an":[61],"extension":[62],"the":[64,80,83,97],"dynamic":[65,132],"mode":[66],"decomposition":[67],"(DMD)":[68],"approach":[69,98],"by":[70,90],"using":[71],"time-delayed":[72],"coordinates":[73],"to":[74,85,123],"implement":[75],"BSS.":[76],"Time-delay":[77],"embedding":[78],"enhances":[79],"capability":[81],"method":[84],"handle":[86],"complex,":[87],"nonstationary":[88],"signals":[89],"incorporating":[91],"dependencies.":[94],"We":[95],"validate":[96],"through":[99],"numerical":[100],"experiments":[101],"applications,":[103],"including":[104],"separation,":[107],"separation":[109],"EEG":[111],"artifact":[112],"removal.":[113],"The":[114],"results":[115],"demonstrate":[116],"that":[117],"modification":[118],"achieves":[119],"superior":[120],"compared":[122],"conventional":[124],"techniques,":[125],"particularly":[126],"scenarios":[128],"where":[129],"sources":[130],"exhibit":[131],"coupling":[133],"or":[134],"non-stationary":[135],"behavior.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}