{"id":"https://openalex.org/W4408862566","doi":"https://doi.org/10.1109/icca62237.2024.10928079","title":"Noise Prewhitening Using Supervised Nonnegative Matrix Factorization and Wiener Filtering","display_name":"Noise Prewhitening Using Supervised Nonnegative Matrix Factorization and Wiener Filtering","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4408862566","doi":"https://doi.org/10.1109/icca62237.2024.10928079"},"language":"en","primary_location":{"id":"doi:10.1109/icca62237.2024.10928079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10928079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","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/A5007282822","display_name":"Mahmoud Fakhry","orcid":"https://orcid.org/0000-0002-2170-2998"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mahmoud Fakhry","raw_affiliation_strings":["Carlos III University of Madrid,Department of Signal Theory and Communications,Leganés (Madrid),Spain,28911"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carlos III University of Madrid,Department of Signal Theory and Communications,Leganés (Madrid),Spain,28911","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065719579","display_name":"Ascensi\u00f3n Gallardo-Antol\u00edn","orcid":"https://orcid.org/0000-0002-9322-3128"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ascensi\u00f3n Gallardo-Antol\u00edn","raw_affiliation_strings":["Carlos III University of Madrid,Department of Signal Theory and Communications,Leganés (Madrid),Spain,28911"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carlos III University of Madrid,Department of Signal Theory and Communications,Leganés (Madrid),Spain,28911","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1628,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49707305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9710000157356262,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9506999850273132,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5960837006568909},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5951221585273743},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.55435711145401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5420371890068054},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5210278034210205},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42831701040267944},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.42434024810791016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38140609860420227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36550623178482056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3636508584022522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3316625952720642},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11065405607223511}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5960837006568909},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5951221585273743},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.55435711145401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5420371890068054},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5210278034210205},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42831701040267944},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.42434024810791016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38140609860420227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36550623178482056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3636508584022522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3316625952720642},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11065405607223511},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca62237.2024.10928079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10928079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","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":25,"referenced_works":["https://openalex.org/W1749737412","https://openalex.org/W1902027874","https://openalex.org/W1964796226","https://openalex.org/W1971843977","https://openalex.org/W1983639407","https://openalex.org/W2078069679","https://openalex.org/W2092185782","https://openalex.org/W2101173458","https://openalex.org/W2107503352","https://openalex.org/W2117543052","https://openalex.org/W2122061932","https://openalex.org/W2136577779","https://openalex.org/W2140828385","https://openalex.org/W2144205901","https://openalex.org/W2235103357","https://openalex.org/W2575498233","https://openalex.org/W2607108972","https://openalex.org/W2716648131","https://openalex.org/W2902459807","https://openalex.org/W3091430646","https://openalex.org/W4211227496","https://openalex.org/W4220905352","https://openalex.org/W4283376069","https://openalex.org/W4392904375","https://openalex.org/W4404628803"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840"],"abstract_inverted_index":{"Noise":[0],"prewhitening":[1],"converts":[2],"nonwhite":[3],"noise":[4,93,121],"in":[5,119,122],"noisy":[6,123],"speech":[7,70,91],"into":[8],"white":[9],"noise,":[10,72,111],"a":[11,52],"preprocessing":[12],"step":[13],"to":[14,60,83,97,99],"improve":[15],"the":[16,29,87,95,113,116],"performance":[17],"of":[18,34,39,81,90,109,115],"subsequent":[19],"processing":[20],"tasks.":[21],"This":[22,64],"is":[23],"done":[24],"by":[25],"estimating":[26],"and":[27,71,85,92],"flattening":[28,54,120],"power":[30],"spectral":[31],"density":[32],"(PSD)":[33],"noise.":[35,49],"However,":[36],"accurate":[37],"estimation":[38],"PSD":[40],"can":[41],"be":[42],"challenging,":[43],"especially":[44],"when":[45],"dealing":[46],"with":[47],"nonstationary":[48],"We":[50],"propose":[51],"spectro-temporal":[53],"filter":[55,65,96],"based":[56],"on":[57],"Wiener":[58],"filtering":[59],"address":[61],"these":[62],"challenges.":[63],"incorporates":[66],"prior":[67],"knowledge":[68],"about":[69],"learned":[73],"through":[74],"nonnegative":[75],"matrix":[76],"factorization":[77],"(NMF).":[78],"The":[79,103],"ability":[80],"NMF":[82],"learn":[84],"represent":[86],"complex":[88],"structures":[89],"allows":[94],"adapt":[98],"various":[100],"real-world":[101],"noises.":[102],"experimental":[104],"analysis,":[105],"using":[106],"five":[107],"types":[108],"environmental":[110],"demonstrates":[112],"effectiveness":[114],"proposed":[117],"method":[118],"speech.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}