{"id":"https://openalex.org/W3004409442","doi":"https://doi.org/10.1109/icassp40776.2020.9053154","title":"\u03b2-NMF and Sparsity Promoting Regularizations for Complex Mixture Unmixing - Application to 2D HSQC NMR","display_name":"\u03b2-NMF and Sparsity Promoting Regularizations for Complex Mixture Unmixing - Application to 2D HSQC NMR","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3004409442","doi":"https://doi.org/10.1109/icassp40776.2020.9053154","mag":"3004409442"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","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/A5031809401","display_name":"Afef Cherni","orcid":"https://orcid.org/0000-0001-5227-6920"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142724","display_name":"Centrale Marseille","ror":"https://ror.org/040baw385","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142724"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Afef CHERNI","raw_affiliation_strings":["Aix-Marseille Univ,CNRS, Centrale Marseille, I2M,Marseille,France","CNRS, Centrale Marseille, I2M, Aix-Marseille Univ, Marseille, France"],"affiliations":[{"raw_affiliation_string":"Aix-Marseille Univ,CNRS, Centrale Marseille, I2M,Marseille,France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CNRS, Centrale Marseille, I2M, Aix-Marseille Univ, Marseille, France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043223894","display_name":"Sandrine Anthoine","orcid":"https://orcid.org/0000-0003-0568-7289"},"institutions":[{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142724","display_name":"Centrale Marseille","ror":"https://ror.org/040baw385","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sandrine ANTHOINE","raw_affiliation_strings":["Aix-Marseille Univ,CNRS, Centrale Marseille, I2M,Marseille,France","CNRS, Centrale Marseille, I2M, Aix-Marseille Univ, Marseille, France"],"affiliations":[{"raw_affiliation_string":"Aix-Marseille Univ,CNRS, Centrale Marseille, I2M,Marseille,France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CNRS, Centrale Marseille, I2M, Aix-Marseille Univ, Marseille, France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017827397","display_name":"Caroline Chaux","orcid":"https://orcid.org/0000-0003-1056-673X"},"institutions":[{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142724","display_name":"Centrale Marseille","ror":"https://ror.org/040baw385","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Caroline CHAUX","raw_affiliation_strings":["Aix-Marseille Univ,CNRS, Centrale Marseille, I2M,Marseille,France","CNRS, Centrale Marseille, I2M, Aix-Marseille Univ, Marseille, France"],"affiliations":[{"raw_affiliation_string":"Aix-Marseille Univ,CNRS, Centrale Marseille, I2M,Marseille,France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CNRS, Centrale Marseille, I2M, Aix-Marseille Univ, Marseille, France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031809401"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142724","https://openalex.org/I4210160189"],"apc_list":null,"apc_paid":null,"fwci":0.59110271,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64624597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5795","last_page":"5799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9901000261306763,"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":0.9819999933242798,"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/blind-signal-separation","display_name":"Blind signal separation","score":0.759691059589386},{"id":"https://openalex.org/keywords/heteronuclear-single-quantum-coherence-spectroscopy","display_name":"Heteronuclear single quantum coherence spectroscopy","score":0.6801388263702393},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6122333407402039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5217498540878296},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4620055556297302},{"id":"https://openalex.org/keywords/two-dimensional-nuclear-magnetic-resonance-spectroscopy","display_name":"Two-dimensional nuclear magnetic resonance spectroscopy","score":0.44431257247924805},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance-spectroscopy","display_name":"Nuclear magnetic resonance spectroscopy","score":0.42979371547698975},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4155476987361908},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41392335295677185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3929515779018402},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.38697993755340576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36280980706214905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.277828574180603},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.27571916580200195},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17899134755134583}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.759691059589386},{"id":"https://openalex.org/C193125475","wikidata":"https://www.wikidata.org/wiki/Q17029192","display_name":"Heteronuclear single quantum coherence spectroscopy","level":3,"score":0.6801388263702393},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6122333407402039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5217498540878296},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4620055556297302},{"id":"https://openalex.org/C19549132","wikidata":"https://www.wikidata.org/wiki/Q11141463","display_name":"Two-dimensional nuclear magnetic resonance spectroscopy","level":2,"score":0.44431257247924805},{"id":"https://openalex.org/C66974803","wikidata":"https://www.wikidata.org/wiki/Q10359898","display_name":"Nuclear magnetic resonance spectroscopy","level":2,"score":0.42979371547698975},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4155476987361908},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41392335295677185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3929515779018402},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.38697993755340576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36280980706214905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.277828574180603},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.27571916580200195},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17899134755134583},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1755563775","https://openalex.org/W1902027874","https://openalex.org/W2039844283","https://openalex.org/W2055070149","https://openalex.org/W2059745395","https://openalex.org/W2068728923","https://openalex.org/W2100556411","https://openalex.org/W2105461944","https://openalex.org/W2107743791","https://openalex.org/W2114508388","https://openalex.org/W2117890631","https://openalex.org/W2119667497","https://openalex.org/W2124757684","https://openalex.org/W2127851351","https://openalex.org/W2171413647","https://openalex.org/W2574521036","https://openalex.org/W2918296821","https://openalex.org/W2950687527","https://openalex.org/W2952120243","https://openalex.org/W3103643813","https://openalex.org/W4233135949","https://openalex.org/W4249049377","https://openalex.org/W4288292191","https://openalex.org/W6667812997","https://openalex.org/W6763803814","https://openalex.org/W6842451035"],"related_works":["https://openalex.org/W2062902635","https://openalex.org/W1571972436","https://openalex.org/W2141705029","https://openalex.org/W1566155188","https://openalex.org/W2101876115","https://openalex.org/W2148955919","https://openalex.org/W4246427529","https://openalex.org/W2049730260","https://openalex.org/W2066429087","https://openalex.org/W4376868985"],"abstract_inverted_index":{"In":[0,71],"Nuclear":[1],"Magnetic":[2],"Resonance":[3],"(NMR)":[4],"spectroscopy,":[5],"an":[6],"efficient":[7],"analysis":[8],"and":[9,58,65,108],"a":[10,18,35,42,48,63,76,87],"relevant":[11],"extraction":[12],"of":[13,55,111],"different":[14],"molecule":[15],"properties":[16],"from":[17],"given":[19],"chemical":[20],"mixture":[21],"are":[22],"important":[23],"tasks,":[24],"especially":[25],"when":[26],"processing":[27],"bidimensional":[28],"NMR":[29,56,103],"data.":[30],"To":[31],"that":[32],"end,":[33],"using":[34],"blind":[36,67,81],"source":[37,68,82],"separation":[38,69,83],"approach":[39],"based":[40,85],"on":[41,86],"variational":[43,78],"formulation":[44,79],"seems":[45],"to":[46,100],"be":[47],"good":[49],"strategy.":[50],"However,":[51],"the":[52,106,109,112],"poor":[53],"resolution":[54],"spectra":[57],"their":[59],"large":[60],"dimension":[61],"require":[62],"new":[64,77],"modern":[66],"method.":[70],"this":[72],"work,":[73],"we":[74],"propose":[75],"for":[80],"(BSS)":[84],"\u03b2-divergence":[88],"data":[89],"fidelity":[90],"term":[91],"combined":[92],"with":[93],"sparsity":[94],"promoting":[95],"regularization":[96],"functions.":[97],"An":[98],"application":[99],"2D":[101],"HSQC":[102],"experiments":[104],"illustrates":[105],"interest":[107],"effectiveness":[110],"proposed":[113],"method":[114],"whether":[115],"in":[116],"simulated":[117],"or":[118],"real":[119],"cases.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}