{"id":"https://openalex.org/W2090258199","doi":"https://doi.org/10.1109/icassp.2010.5495719","title":"A new sparsity-enabled signal separation method based on signal resonance","display_name":"A new sparsity-enabled signal separation method based on signal resonance","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2090258199","doi":"https://doi.org/10.1109/icassp.2010.5495719","mag":"2090258199"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5058321875","display_name":"Ivan Selesnick","orcid":"https://orcid.org/0000-0002-4939-3971"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ivan W. Selesnick","raw_affiliation_strings":["Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY, USA","Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, 07040, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887","https://openalex.org/I57206974"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, 07040, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058321875"],"corresponding_institution_ids":["https://openalex.org/I57206974","https://openalex.org/I90965887"],"apc_list":null,"apc_paid":null,"fwci":0.9697,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78118927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5914","issue":null,"first_page":"4150","last_page":"4153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/signal-processing","display_name":"Signal processing","score":0.6190235614776611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5668469071388245},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5360840559005737},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5160303115844727},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5110858678817749},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.49348366260528564},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.46784886717796326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38627004623413086},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.320197194814682},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.2760868966579437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16672971844673157},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.06782180070877075}],"concepts":[{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6190235614776611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5668469071388245},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5360840559005737},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5160303115844727},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5110858678817749},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.49348366260528564},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.46784886717796326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38627004623413086},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.320197194814682},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2760868966579437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16672971844673157},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.06782180070877075},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2010.5495719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.720.4996","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.720.4996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eeweb.poly.edu/iselesni/pubs/Selesnick_2010_ICASSP_resonance.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1491742974","https://openalex.org/W1559077087","https://openalex.org/W1975538539","https://openalex.org/W1977905043","https://openalex.org/W1999905919","https://openalex.org/W2007054383","https://openalex.org/W2026271794","https://openalex.org/W2028349405","https://openalex.org/W2029039148","https://openalex.org/W2040073627","https://openalex.org/W2100556411","https://openalex.org/W2110505738","https://openalex.org/W2115706991","https://openalex.org/W2116496279","https://openalex.org/W2126607811","https://openalex.org/W2130392029","https://openalex.org/W2154996879","https://openalex.org/W2155441809","https://openalex.org/W2159262137","https://openalex.org/W3100676347","https://openalex.org/W3100906318"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2077021924","https://openalex.org/W2905220255"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,26,60,63,68,87],"separation":[4],"of":[5,67],"signal":[6,20,53],"components":[7,54],"based":[8],"on":[9,14],"resonance.":[10],"The":[11,47,74],"method":[12],"relies":[13],"several":[15],"recent":[16],"developments":[17],"in":[18],"sparse":[19],"processing:":[21],"morphological":[22],"component":[23],"analysis":[24],"(MCA),":[25],"rational-dilation":[27],"wavelet":[28,69],"transform":[29,70],"(RADWT),":[30],"and":[31],"fast":[32],"algorithms":[33],"for":[34],"\u2113":[35],"<sub":[36],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[37],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[38],"-norm":[39],"regularized":[40],"linear":[41],"inverse":[42],"problems":[43],"(for":[44],"example,":[45],"SALSA).":[46],"RADWT":[48,61],"allows":[49,62],"one":[50],"to":[51,56,71],"extract":[52],"according":[55],"resonance":[57],"characteristics":[58],"because":[59],"Q-factor":[64],"(frequency":[65],"resolution)":[66],"be":[72,79],"varied.":[73],"sought":[75],"decomposition":[76],"can":[77],"not":[78],"accomplished":[80],"by":[81],"frequency-based":[82],"filtering.":[83],"An":[84],"example":[85],"illustrates":[86],"method.":[88]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
