{"id":"https://openalex.org/W3015480424","doi":"https://doi.org/10.1109/icassp40776.2020.9053757","title":"A Frequency-Domain BSS Method Based on \u2113<sub>1</sub> Norm, Unitary Constraint, and Cayley Transform","display_name":"A Frequency-Domain BSS Method Based on \u2113<sub>1</sub> Norm, Unitary Constraint, and Cayley Transform","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015480424","doi":"https://doi.org/10.1109/icassp40776.2020.9053757","mag":"3015480424"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053757","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":"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/A5080327534","display_name":"Satoru Emura","orcid":"https://orcid.org/0000-0002-3102-6508"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Emura","raw_affiliation_strings":["NTT Media Intelligence Laboratories"],"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007032557","display_name":"Hiroshi Sawada","orcid":"https://orcid.org/0000-0002-4831-9286"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Sawada","raw_affiliation_strings":["NTT Communication Science Laboratories"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009309584","display_name":"Shoko Araki","orcid":"https://orcid.org/0000-0003-4363-4305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Araki","raw_affiliation_strings":["NTT Communication Science Laboratories"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054467679","display_name":"Noboru Harada","orcid":"https://orcid.org/0000-0002-1759-4533"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Harada","raw_affiliation_strings":["NTT Communication Science Laboratories"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080327534"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1515,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.40032916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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":0.9983000159263611,"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/orthonormal-basis","display_name":"Orthonormal basis","score":0.6644278168678284},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5841212868690491},{"id":"https://openalex.org/keywords/unitary-state","display_name":"Unitary state","score":0.5822414755821228},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45286980271339417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4449481964111328},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4424927532672882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41251975297927856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3564414381980896},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.33515065908432007},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10486581921577454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08401823043823242}],"concepts":[{"id":"https://openalex.org/C5806529","wikidata":"https://www.wikidata.org/wiki/Q2365325","display_name":"Orthonormal basis","level":2,"score":0.6644278168678284},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5841212868690491},{"id":"https://openalex.org/C67820243","wikidata":"https://www.wikidata.org/wiki/Q179164","display_name":"Unitary state","level":2,"score":0.5822414755821228},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45286980271339417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4449481964111328},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4424927532672882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41251975297927856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3564414381980896},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.33515065908432007},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10486581921577454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08401823043823242},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053757","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W285277413","https://openalex.org/W1548802052","https://openalex.org/W1966693148","https://openalex.org/W1990835870","https://openalex.org/W1991840148","https://openalex.org/W2031583051","https://openalex.org/W2086953401","https://openalex.org/W2111136894","https://openalex.org/W2111493103","https://openalex.org/W2114461480","https://openalex.org/W2117678320","https://openalex.org/W2127851351","https://openalex.org/W2141224535","https://openalex.org/W2188341449","https://openalex.org/W4205778870","https://openalex.org/W4242259102","https://openalex.org/W6641949059"],"related_works":["https://openalex.org/W2370850565","https://openalex.org/W2381894435","https://openalex.org/W2296214397","https://openalex.org/W2951195293","https://openalex.org/W2029951831","https://openalex.org/W3141309046","https://openalex.org/W2032552241","https://openalex.org/W4296643228","https://openalex.org/W1623028309","https://openalex.org/W2053163725"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,25,81,104,111,119,122],"frequency-domain":[3],"blind":[4],"source":[5,22,51],"separation":[6,67],"method":[7,109],"that":[8],"uses":[9],"(a)":[10],"the":[11,34,38,42,55,62,66,73,91,95,101,107,115],"\u2113":[12,74],"<sub":[13,75,127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[14,76,128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[15,77],"norm":[16,78],"of":[17,20,49,57,94,103,125],"orthonormal":[18,47],"vectors":[19,48],"estimated":[21,50],"signals":[23,60],"as":[24,80],"sparsity":[26,82],"measure":[27],"and":[28,61],"(b)":[29],"Cayley":[30,85],"transform":[31,86],"for":[32],"optimizing":[33],"objective":[35],"function":[36],"under":[37],"unitary":[39,63,96],"constraint":[40,64,97],"in":[41,114,118],"Riemannian":[43],"geometry":[44],"approach.":[45],"The":[46,84],"signals,":[52],"obtained":[53],"by":[54],"sphering":[56],"observed":[58],"mixed":[59],"on":[65],"filters,":[68],"enables":[69,87],"us":[70,88],"to":[71,89,100],"use":[72],"properly":[79],"measure.":[83],"handle":[90],"geometrical":[92],"aspects":[93],"efficiently.":[98],"According":[99],"simulation":[102],"two-channel":[105],"case,":[106],"proposed":[108],"achieved":[110],"20-dB":[112],"improvement":[113],"source-to-interference":[116],"ratio":[117],"room":[120],"with":[121],"reverberation":[123],"time":[124],"T":[126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">60</sub>":[129],"=":[130],"300ms.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}