{"id":"https://openalex.org/W2048894915","doi":"https://doi.org/10.1109/icdsp.2013.6622684","title":"Superresolution-based stereo signal separation via supervised nonnegative matrix factorization","display_name":"Superresolution-based stereo signal separation via supervised nonnegative matrix factorization","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2048894915","doi":"https://doi.org/10.1109/icdsp.2013.6622684","mag":"2048894915"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2013.6622684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","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/A5071479017","display_name":"Daichi Kitamura","orcid":"https://orcid.org/0000-0003-1117-7939"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daichi Kitamura","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan#TAB#","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003814223","display_name":"Hiroshi Saruwatari","orcid":"https://orcid.org/0000-0003-0876-5617"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Saruwatari","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan#TAB#","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070047852","display_name":"Yusuke Iwao","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Iwao","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan#TAB#","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021868389","display_name":"Kiyohiro Shikano","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyohiro Shikano","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan#TAB#","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021841017","display_name":"Kazunobu Kondo","orcid":"https://orcid.org/0000-0001-7428-696X"},"institutions":[{"id":"https://openalex.org/I1295929820","display_name":"Yamaha (Japan)","ror":"https://ror.org/05s7fvh27","country_code":"JP","type":"company","lineage":["https://openalex.org/I1295929820"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunobu Kondo","raw_affiliation_strings":["Corporate Research & Development Center, Yamaha Corporation, Shizuoka, Japan","Corp. R&D Center, Yamaha Corp., Shizuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development Center, Yamaha Corporation, Shizuoka, Japan","institution_ids":["https://openalex.org/I1295929820"]},{"raw_affiliation_string":"Corp. R&D Center, Yamaha Corp., Shizuoka, Japan","institution_ids":["https://openalex.org/I1295929820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079059380","display_name":"Yu Takahashi","orcid":"https://orcid.org/0000-0002-9589-0645"},"institutions":[{"id":"https://openalex.org/I1295929820","display_name":"Yamaha (Japan)","ror":"https://ror.org/05s7fvh27","country_code":"JP","type":"company","lineage":["https://openalex.org/I1295929820"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Takahashi","raw_affiliation_strings":["Corporate Research & Development Center, Yamaha Corporation, Shizuoka, Japan","Corp. R&D Center, Yamaha Corp., Shizuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development Center, Yamaha Corporation, Shizuoka, Japan","institution_ids":["https://openalex.org/I1295929820"]},{"raw_affiliation_string":"Corp. R&D Center, Yamaha Corp., Shizuoka, Japan","institution_ids":["https://openalex.org/I1295929820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5071479017"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":1.596,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83694506,"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":"1","last_page":"6"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9961000084877014,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9890999794006348,"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":0.838283121585846},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.7381385564804077},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6891376972198486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6667540669441223},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.6576545834541321},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6498653292655945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6207538843154907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6048498749732971},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5254786610603333},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5187261700630188},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48346763849258423},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.46248680353164673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3050178289413452},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.061403095722198486},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06064829230308533}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.838283121585846},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7381385564804077},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6891376972198486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6667540669441223},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6576545834541321},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6498653292655945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6207538843154907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6048498749732971},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5254786610603333},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5187261700630188},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48346763849258423},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.46248680353164673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3050178289413452},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.061403095722198486},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06064829230308533},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2013.6622684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W166070221","https://openalex.org/W1504438288","https://openalex.org/W1604019479","https://openalex.org/W1981463705","https://openalex.org/W1981977241","https://openalex.org/W2113990625","https://openalex.org/W2127851351","https://openalex.org/W2135029798","https://openalex.org/W2147455188","https://openalex.org/W2150415460","https://openalex.org/W2153935449","https://openalex.org/W2165530388","https://openalex.org/W3143596294","https://openalex.org/W6606786164","https://openalex.org/W6630116292","https://openalex.org/W6636438256","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W2123043102","https://openalex.org/W2577807713","https://openalex.org/W2098101267","https://openalex.org/W2037504162","https://openalex.org/W2774154397","https://openalex.org/W2146544734","https://openalex.org/W2921513691","https://openalex.org/W2156699640","https://openalex.org/W1979654135","https://openalex.org/W2156181515"],"abstract_inverted_index":{"In":[0,32],"this":[1,52,75],"paper,":[2],"we":[3,77],"address":[4],"a":[5,12,35,56,79],"stereo":[6],"signal":[7,49,61,123],"separation":[8],"problem":[9,57],"and":[10,19,92,116],"propose":[11,78],"new":[13,80],"method":[14,37,54,111],"utilizing":[15],"both":[16],"directional":[17,42,68],"clustering":[18,43,69],"superresolution-based":[20],"supervised":[21,30,39,81,102],"nonnegative":[22],"matrix":[23],"factorization":[24],"(NMF)":[25],"via":[26,98],"spectrogram":[27,99],"extrapolation":[28,100],"using":[29,101],"bases.":[31,103],"previous":[33],"studies,":[34],"hybrid":[36,53],"concatenating":[38],"NMF":[40,82],"after":[41],"was":[44],"proposed":[45,110],"as":[46,89],"for":[47],"multichannel":[48],"separation.":[50],"However,":[51],"has":[55],"that":[58,84,108,117],"the":[59,86,94,109,118,121],"extracted":[60,122],"suffers":[62],"from":[63],"considerable":[64],"spectral":[65,71,87],"distortion":[66,119],"because":[67],"yields":[70],"chasms.":[72],"To":[73],"solve":[74],"problem,":[76],"algorithm":[83],"regards":[85],"chasms":[88],"unseen":[90],"observations":[91],"reconstructs":[93],"target":[95],"source":[96],"components":[97],"Our":[104],"experimental":[105],"results":[106],"show":[107],"outperforms":[112],"several":[113],"conventional":[114],"methods":[115],"of":[120],"can":[124],"be":[125],"mitigated":[126],"by":[127],"superresolution":[128],"efficacy.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}