{"id":"https://openalex.org/W2032127222","doi":"https://doi.org/10.1109/isspa.2012.6310568","title":"Robust independent vector analysis based on exploiting phase continuity of the unmixing matrix","display_name":"Robust independent vector analysis based on exploiting phase continuity of the unmixing matrix","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2032127222","doi":"https://doi.org/10.1109/isspa.2012.6310568","mag":"2032127222"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2012.6310568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","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/A5101660177","display_name":"Yanfeng Liang","orcid":"https://orcid.org/0000-0001-8348-3092"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yanfeng Liang","raw_affiliation_strings":["Advanced Signal Processing Group, School of Electronic, Electrical and System Engineering, Loughborough University, Leicestershire, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Signal Processing Group, School of Electronic, Electrical and System Engineering, Loughborough University, Leicestershire, UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053121936","display_name":"Syed Mohsen Naqvi","orcid":"https://orcid.org/0000-0002-1547-0908"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Syed Mohsen Naqvi","raw_affiliation_strings":["Advanced Signal Processing Group, School of Electronic, Electrical and System Engineering, Loughborough University, Leicestershire, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Signal Processing Group, School of Electronic, Electrical and System Engineering, Loughborough University, Leicestershire, UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007993661","display_name":"Jonathon A. Chambers","orcid":"https://orcid.org/0000-0002-7224-8553"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jonathon A. Chambers","raw_affiliation_strings":["Advanced Signal Processing Group, School of Electronic, Electrical and System Engineering, Loughborough University, Leicestershire, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Signal Processing Group, School of Electronic, Electrical and System Engineering, Loughborough University, Leicestershire, UK","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1176129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"321","last_page":"326"},"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":0.982200026512146,"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":0.9564999938011169,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.797482430934906},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7638933658599854},{"id":"https://openalex.org/keywords/permutation-matrix","display_name":"Permutation matrix","score":0.6615332365036011},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.60700523853302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5897405743598938},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.576992392539978},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5249483585357666},{"id":"https://openalex.org/keywords/random-permutation","display_name":"Random permutation","score":0.4993722438812256},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48343193531036377},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4616173207759857},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43688222765922546},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3713133931159973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3480640947818756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33780938386917114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29152244329452515}],"concepts":[{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.797482430934906},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7638933658599854},{"id":"https://openalex.org/C84140500","wikidata":"https://www.wikidata.org/wiki/Q851512","display_name":"Permutation matrix","level":3,"score":0.6615332365036011},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.60700523853302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5897405743598938},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.576992392539978},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5249483585357666},{"id":"https://openalex.org/C200985842","wikidata":"https://www.wikidata.org/wiki/Q3375503","display_name":"Random permutation","level":3,"score":0.4993722438812256},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48343193531036377},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4616173207759857},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43688222765922546},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3713133931159973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3480640947818756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33780938386917114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29152244329452515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C115973184","wikidata":"https://www.wikidata.org/wiki/Q245457","display_name":"Circulant matrix","level":2,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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":3,"locations":[{"id":"doi:10.1109/isspa.2012.6310568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.44SUR_INST:11139151800002346","is_oa":false,"landing_page_url":"https://openresearch.surrey.ac.uk/esploro/outputs/conferencePresentation/Robust-independent-vector-analysis-based-on/99513462202346","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:epubs.surrey.ac.uk:839102","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/839102/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W76597279","https://openalex.org/W271314235","https://openalex.org/W1974343358","https://openalex.org/W1991139021","https://openalex.org/W2096301647","https://openalex.org/W2115716957","https://openalex.org/W2127851351","https://openalex.org/W2128911505","https://openalex.org/W2170768669","https://openalex.org/W2539141352","https://openalex.org/W4205778870","https://openalex.org/W6603233860"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2046761971","https://openalex.org/W2182042810","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2391050754","https://openalex.org/W3133549692"],"abstract_inverted_index":{"Independent":[0],"vector":[1],"analysis":[2,33],"(IVA)":[3],"is":[4,35,90,93],"a":[5,38,64,85],"recently":[6],"proposed":[7,91,109],"method":[8,89,110],"to":[9,42,81],"solve":[10,113],"the":[11,24,29,44,54,75,96,100,108,114],"permutation":[12,55,66,116],"problem":[13,117],"of":[14,28,99,118],"frequency":[15,49],"domain":[16],"convolutive":[17],"blind":[18],"source":[19],"separation":[20],"(FD-CBSS).":[21],"In":[22,68],"IVA":[23,58,87],"single-variate":[25],"nonlinear":[26,40],"function":[27,41],"traditional":[30],"independent":[31],"component":[32],"(ICA)":[34],"replaced":[36],"by":[37,63],"multivariate":[39],"exploit":[43],"higher":[45],"order":[46],"dependencies":[47],"between":[48],"bins":[50],"and":[51],"thereby":[52],"mitigate":[53],"problem.":[56,67],"However,":[57],"can":[59,111],"still":[60],"be":[61],"affected":[62],"block":[65,115],"this":[69,78,83],"paper,":[70],"we":[71],"therefore":[72],"first":[73],"analyse":[74],"reason":[76],"for":[77],"behavior.":[79],"Then":[80],"address":[82],"problem,":[84],"robust":[86],"(RIVA)":[88],"which":[92],"based":[94],"on":[95],"phase":[97],"continuity":[98],"unmixing":[101],"matrix.":[102],"The":[103],"experimental":[104],"results":[105],"confirm":[106],"that":[107],"successfully":[112],"IVA.":[119]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
