{"id":"https://openalex.org/W2155686237","doi":"https://doi.org/10.1109/icassp.2002.5744943","title":"Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing","display_name":"Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2155686237","doi":"https://doi.org/10.1109/icassp.2002.5744943","mag":"2155686237"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5744943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5744943","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/97066","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059449726","display_name":"Anisoara Paraschiv-Ionescu","orcid":"https://orcid.org/0000-0002-2341-4383"},"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":"A. Paraschiv-Ionescu","raw_affiliation_strings":["Swiss Federal Institute of Technology, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055562421","display_name":"Christian Jutten","orcid":"https://orcid.org/0000-0002-4477-4847"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Jutten","raw_affiliation_strings":["Laboratoire des Images et des Signaux, INP, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire des Images et des Signaux, INP, Grenoble, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087048361","display_name":"Kamiar Aminian","orcid":"https://orcid.org/0000-0002-6582-5375"},"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":"K. Aminian","raw_affiliation_strings":["Swiss Federal Institute of Technology, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051401339","display_name":"Bijan Najafi","orcid":"https://orcid.org/0000-0002-0320-8101"},"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":"B. Najafi","raw_affiliation_strings":["Swiss Federal Institute of Technology, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111521470","display_name":"Ph. Robert","orcid":null},"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":"Ph. Robert","raw_affiliation_strings":["Swiss Federal Institute of Technology, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059449726"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.3191,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.77844311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"II","last_page":"1681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9908999800682068,"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/wavelet","display_name":"Wavelet","score":0.7400277853012085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6234162449836731},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5913662910461426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5652340650558472},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.563441276550293},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5624086260795593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5463781952857971},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4898395240306854},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48308613896369934},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4760458469390869},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4542546570301056},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44883084297180176},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4341089129447937},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.41637271642684937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32944273948669434},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08737662434577942},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06263682246208191},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.060715317726135254},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.058299124240875244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05017906427383423}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7400277853012085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234162449836731},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5913662910461426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5652340650558472},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.563441276550293},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5624086260795593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5463781952857971},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4898395240306854},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48308613896369934},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4760458469390869},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4542546570301056},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44883084297180176},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4341089129447937},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.41637271642684937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32944273948669434},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08737662434577942},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06263682246208191},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.060715317726135254},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.058299124240875244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05017906427383423},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2002.5744943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5744943","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:97066","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/97066","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"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:97066","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/97066","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":9,"referenced_works":["https://openalex.org/W1548802052","https://openalex.org/W2079724595","https://openalex.org/W2080196643","https://openalex.org/W2121329704","https://openalex.org/W2132984323","https://openalex.org/W2137969290","https://openalex.org/W4211083646","https://openalex.org/W4255521522","https://openalex.org/W6632744857"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2031820693","https://openalex.org/W3024816962","https://openalex.org/W1974392290","https://openalex.org/W2889447638","https://openalex.org/W1910172735","https://openalex.org/W2118307209","https://openalex.org/W2107364365","https://openalex.org/W3103566292","https://openalex.org/W1607924090"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,17,44,47],"source":[4],"separation":[5],"in":[6],"strong":[7],"noisy":[8],"mixtures":[9],"by":[10],"using":[11],"wavelet":[12,36],"de-noising":[13,37],"processing.":[14],"Experiments":[15],"include":[16],"cases":[18],"of":[19,32,46],"white/correlated":[20],"Gaussian":[21],"and":[22,41],"non-Gaussian":[23],"noise,":[24],"which":[25],"correspond":[26],"to":[27],"various":[28],"applications.":[29],"The":[30],"performance":[31],"BSS/ICA":[33],"algorithms":[34],"after":[35],"is":[38],"quantitatively":[39],"investigated,":[40],"points":[42],"out":[43],"efficiency":[45],"method.":[48]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}