{"id":"https://openalex.org/W3011647582","doi":"https://doi.org/10.1109/tsp.2020.2979550","title":"Directional Sparse Filtering for Blind Estimation of Under-Determined Complex-Valued Mixing Matrices","display_name":"Directional Sparse Filtering for Blind Estimation of Under-Determined Complex-Valued Mixing Matrices","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011647582","doi":"https://doi.org/10.1109/tsp.2020.2979550","mag":"3011647582"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2020.2979550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2979550","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/138107/2/TSP2020_camready.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101548777","display_name":"Anh H. T. Nguyen","orcid":"https://orcid.org/0000-0003-2725-3975"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Anh H. T. Nguyen","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2725-3975","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102781617","display_name":"Vaninirappuputhenpurayil Gopalan Reju","orcid":"https://orcid.org/0000-0002-6234-965X"},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaninirappuputhenpurayil Gopalan Reju","raw_affiliation_strings":["Cochin University of Science and Technology, Kochi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cochin University of Science and Technology, Kochi, India","institution_ids":["https://openalex.org/I20497027"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010202250","display_name":"Andy W. H. Khong","orcid":"https://orcid.org/0000-0002-0708-4791"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Andy W. H. Khong","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0708-4791","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6728,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84202974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"68","issue":null,"first_page":"1990","last_page":"2003"},"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":0.9997000098228455,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.998199999332428,"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/mixing","display_name":"Mixing (physics)","score":0.6612272262573242},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6368848085403442},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6363687515258789},{"id":"https://openalex.org/keywords/invertible-matrix","display_name":"Invertible matrix","score":0.6094299554824829},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.56409752368927},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5519421696662903},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5485145449638367},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5176456570625305},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4825417399406433},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.46739158034324646},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45038700103759766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37640082836151123},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33058029413223267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3297109603881836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2336428463459015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14013561606407166}],"concepts":[{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.6612272262573242},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6368848085403442},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6363687515258789},{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.6094299554824829},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.56409752368927},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5519421696662903},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5485145449638367},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5176456570625305},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4825417399406433},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.46739158034324646},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45038700103759766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37640082836151123},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33058029413223267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3297109603881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2336428463459015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14013561606407166},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2020.2979550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2979550","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/138107","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/138107","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/138107/2/TSP2020_camready.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/138107","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/138107","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/138107/2/TSP2020_camready.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318804","display_name":"Delta Electronics","ror":"https://ror.org/04s3g5933"},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320333169","display_name":"National Science Foundation, United Arab Emirates","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011647582.pdf","grobid_xml":"https://content.openalex.org/works/W3011647582.grobid-xml"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W79994716","https://openalex.org/W87112183","https://openalex.org/W92728042","https://openalex.org/W167162132","https://openalex.org/W1488610917","https://openalex.org/W1500379785","https://openalex.org/W1523281138","https://openalex.org/W1524553959","https://openalex.org/W1571258695","https://openalex.org/W1580211712","https://openalex.org/W1599873380","https://openalex.org/W1625636363","https://openalex.org/W1660883632","https://openalex.org/W1876052200","https://openalex.org/W1944156528","https://openalex.org/W1974388905","https://openalex.org/W1976917750","https://openalex.org/W1987906574","https://openalex.org/W1998874027","https://openalex.org/W2007715285","https://openalex.org/W2009984963","https://openalex.org/W2018457194","https://openalex.org/W2027884847","https://openalex.org/W2031583051","https://openalex.org/W2035128299","https://openalex.org/W2038237443","https://openalex.org/W2038506683","https://openalex.org/W2043216213","https://openalex.org/W2045512849","https://openalex.org/W2051434435","https://openalex.org/W2053742104","https://openalex.org/W2057612871","https://openalex.org/W2058693698","https://openalex.org/W2064191652","https://openalex.org/W2066676198","https://openalex.org/W2072538398","https://openalex.org/W2076198712","https://openalex.org/W2080829915","https://openalex.org/W2092989792","https://openalex.org/W2108746992","https://openalex.org/W2111136894","https://openalex.org/W2115549875","https://openalex.org/W2122724372","https://openalex.org/W2127737934","https://openalex.org/W2127851351","https://openalex.org/W2130780554","https://openalex.org/W2135153691","https://openalex.org/W2137335629","https://openalex.org/W2140638323","https://openalex.org/W2141224535","https://openalex.org/W2156529323","https://openalex.org/W2160547390","https://openalex.org/W2172097070","https://openalex.org/W2175402905","https://openalex.org/W2328604275","https://openalex.org/W2402160635","https://openalex.org/W2408321390","https://openalex.org/W2516001803","https://openalex.org/W2563666542","https://openalex.org/W2568308529","https://openalex.org/W2600855590","https://openalex.org/W2916583660","https://openalex.org/W2963042606","https://openalex.org/W3103960010","https://openalex.org/W3139695047","https://openalex.org/W3179299791","https://openalex.org/W4242259102","https://openalex.org/W4292058084","https://openalex.org/W6603806418","https://openalex.org/W6629147628","https://openalex.org/W6654907530","https://openalex.org/W6661582794","https://openalex.org/W6667418930","https://openalex.org/W6677446445","https://openalex.org/W6678245175","https://openalex.org/W6679971206","https://openalex.org/W6685537299","https://openalex.org/W6697212559","https://openalex.org/W6798352906"],"related_works":["https://openalex.org/W4251428025","https://openalex.org/W4289867043","https://openalex.org/W2784467519","https://openalex.org/W2366459771","https://openalex.org/W1973736094","https://openalex.org/W2383482627","https://openalex.org/W2350707375","https://openalex.org/W2377881809","https://openalex.org/W2355516922","https://openalex.org/W1563200382"],"abstract_inverted_index":{"We":[0],"propose":[1,49],"an":[2],"algorithm":[3,127],"that":[4,94,124],"exploits":[5],"the":[6,27,45,52,56,61,66,69,86,95,104,109,125],"benefits":[7],"of":[8,21,29,55,72],"sparse":[9,23,100],"filtering":[10,101],"and":[11,65,99,119],"directional":[12],"clustering":[13],"when":[14,108],"estimating":[15,73],"under-determined":[16],"mixing":[17,63,75,106],"matrix":[18,64,107],"from":[19],"mixtures":[20,122],"sufficiently":[22],"sources.":[24],"To":[25],"express":[26],"direction":[28],"each":[30],"sample":[31],"by":[32],"only":[33],"a":[34,79],"few":[35],"vectors":[36],"in":[37],"which":[38],"one":[39],"vector":[40],"is":[41],"more":[42],"dominant":[43],"than":[44],"remaining":[46],"ones,":[47],"we":[48,77],"to":[50],"minimize":[51],"power":[53],"mean":[54],"magnitude-squared":[57,87],"cosine":[58,88],"distances":[59],"between":[60],"estimated":[62],"data.":[67],"For":[68],"special":[70],"case":[71],"determined":[74],"matrix,":[76],"derive":[78],"stability":[80,91],"condition":[81,92],"for":[82],"methods":[83],"based":[84],"on":[85],"metric.":[89],"Our":[90],"shows":[93],"proposed":[96,126],"approach,":[97],"K-hyperlines,":[98],"can":[102],"recover":[103],"invertible":[105],"sources":[110],"are":[111],"i.i.d.":[112],"super-Gaussian.":[113],"Simulations":[114],"using":[115],"both":[116],"synthetic":[117],"data":[118],"recorded":[120],"speech":[121],"show":[123],"outperforms":[128],"existing":[129],"algorithms":[130],"with":[131],"lower":[132],"computational":[133],"complexity.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}