{"id":"https://openalex.org/W2051929191","doi":"https://doi.org/10.1109/his.2013.6920450","title":"Blind separation of underdetermined mixtures with additive white and pink noises","display_name":"Blind separation of underdetermined mixtures with additive white and pink noises","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2051929191","doi":"https://doi.org/10.1109/his.2013.6920450","mag":"2051929191"},"language":"en","primary_location":{"id":"doi:10.1109/his.2013.6920450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2013.6920450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International Conference on Hybrid Intelligent Systems (HIS 2013)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://nrl.northumbria.ac.uk/id/eprint/42506/1/Blind%20Separation%20of%20Underdetermined%20Mixtures%20With%20Additive%20White%20and%20Pink.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069795348","display_name":"Ossama Alshabrawy","orcid":"https://orcid.org/0000-0002-7293-8511"},"institutions":[{"id":"https://openalex.org/I126427551","display_name":"Damietta University","ror":"https://ror.org/035h3r191","country_code":"EG","type":"education","lineage":["https://openalex.org/I126427551"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Ossama S. Alshabrawy","raw_affiliation_strings":["Dept. of Mathematics & Computer Science, Damietta University, Damietta, Egypt"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics & Computer Science, Damietta University, Damietta, Egypt","institution_ids":["https://openalex.org/I126427551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085432173","display_name":"Aboul Ella Hassanien","orcid":"https://orcid.org/0000-0002-9989-6681"},"institutions":[{"id":"https://openalex.org/I4210134598","display_name":"Scientific Research Group in Egypt","ror":"https://ror.org/03rahtg67","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210134598"]},{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Aboul ella Hassanien","raw_affiliation_strings":["Faculty of Computers & Information, Cairo University, Cairo, Egypt","Scientific Research Group in Egypt (SRGE)"],"affiliations":[{"raw_affiliation_string":"Faculty of Computers & Information, Cairo University, Cairo, Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Scientific Research Group in Egypt (SRGE)","institution_ids":["https://openalex.org/I4210134598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015094660","display_name":"Wael A. Awad","orcid":"https://orcid.org/0000-0002-6685-4688"},"institutions":[{"id":"https://openalex.org/I88017793","display_name":"Port Said University","ror":"https://ror.org/01vx5yq44","country_code":"EG","type":"education","lineage":["https://openalex.org/I88017793"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"W. A. Awad","raw_affiliation_strings":["Dept. of Mathematics & Computer Science, Port Said University, Egypt"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics & Computer Science, Port Said University, Egypt","institution_ids":["https://openalex.org/I88017793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037558599","display_name":"A. A. Salama","orcid":"https://orcid.org/0000-0003-2300-615X"},"institutions":[{"id":"https://openalex.org/I88017793","display_name":"Port Said University","ror":"https://ror.org/01vx5yq44","country_code":"EG","type":"education","lineage":["https://openalex.org/I88017793"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"A. A. Salama","raw_affiliation_strings":["Dept. of Mathematics & Computer Science, Port Said University, Egypt"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics & Computer Science, Port Said University, Egypt","institution_ids":["https://openalex.org/I88017793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069795348"],"corresponding_institution_ids":["https://openalex.org/I126427551"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12020755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4666","issue":null,"first_page":"305","last_page":"311"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9743000268936157,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/blind-signal-separation","display_name":"Blind signal separation","score":0.751593828201294},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6458012461662292},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.6096798777580261},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.5972287654876709},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.5712560415267944},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5706161856651306},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5478770136833191},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5421714186668396},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5348243713378906},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5281774401664734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49088436365127563},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4558575749397278},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4445725381374359},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.43824371695518494},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4359777569770813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4298306405544281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2976441979408264},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21200841665267944},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1078450083732605}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.751593828201294},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6458012461662292},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.6096798777580261},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.5972287654876709},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.5712560415267944},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5706161856651306},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5478770136833191},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5421714186668396},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5348243713378906},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5281774401664734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49088436365127563},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4558575749397278},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4445725381374359},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.43824371695518494},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4359777569770813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4298306405544281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2976441979408264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21200841665267944},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1078450083732605},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/his.2013.6920450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2013.6920450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International Conference on Hybrid Intelligent Systems (HIS 2013)","raw_type":"proceedings-article"},{"id":"pmh:oai:nrl.northumbria.ac.uk:42506","is_oa":true,"landing_page_url":null,"pdf_url":"http://nrl.northumbria.ac.uk/id/eprint/42506/1/Blind%20Separation%20of%20Underdetermined%20Mixtures%20With%20Additive%20White%20and%20Pink.pdf","source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"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":{"id":"pmh:oai:nrl.northumbria.ac.uk:42506","is_oa":true,"landing_page_url":null,"pdf_url":"http://nrl.northumbria.ac.uk/id/eprint/42506/1/Blind%20Separation%20of%20Underdetermined%20Mixtures%20With%20Additive%20White%20and%20Pink.pdf","source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2051929191.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1246381107","https://openalex.org/W1548802052","https://openalex.org/W1549997004","https://openalex.org/W1587697062","https://openalex.org/W1594523130","https://openalex.org/W1658347130","https://openalex.org/W1682816815","https://openalex.org/W1996390423","https://openalex.org/W2000501380","https://openalex.org/W2038182769","https://openalex.org/W2040292433","https://openalex.org/W2043511730","https://openalex.org/W2072156129","https://openalex.org/W2084004807","https://openalex.org/W2099727712","https://openalex.org/W2104969945","https://openalex.org/W2111031731","https://openalex.org/W2121424729","https://openalex.org/W2146864968","https://openalex.org/W2404400936","https://openalex.org/W3150483784","https://openalex.org/W4205778870","https://openalex.org/W6635191348","https://openalex.org/W6635540285","https://openalex.org/W6637124520","https://openalex.org/W6661570847","https://openalex.org/W6676520786","https://openalex.org/W6678041585"],"related_works":["https://openalex.org/W2383973401","https://openalex.org/W2095924515","https://openalex.org/W2034312940","https://openalex.org/W2351680970","https://openalex.org/W2030887432","https://openalex.org/W2900617041","https://openalex.org/W2206857820","https://openalex.org/W2375962929","https://openalex.org/W2006085665","https://openalex.org/W2361100278"],"abstract_inverted_index":{"This":[0,45],"paper":[1],"presents":[2],"an":[3,77,120],"approach":[4,24,143],"for":[5,127],"underdetermined":[6],"blind":[7],"source":[8,96,149],"separation":[9],"in":[10,27],"the":[11,22,28,63,70,89,95,111,116,141],"case":[12,29],"of":[13,30,43],"additive":[14,40],"Gaussian":[15],"white":[16],"noise":[17],"and":[18,50,85,94,122,136,155],"pink":[19],"noise.":[20],"Likewise,":[21],"proposed":[23,142],"is":[25,47,73],"applicable":[26],"separating":[31],"I":[32,37,146,152],"+":[33,147],"3":[34,148],"sources":[35],"from":[36,115,151],"mixtures":[38],"with":[39],"two":[41],"kinds":[42],"noises.":[44],"situation":[46],"more":[48],"challenging":[49],"suitable":[51],"to":[52,59,162],"practical":[53],"real":[54],"world":[55],"problems.":[56],"Moreover,":[57],"unlike":[58],"some":[60,163],"conventional":[61,164],"approaches,":[62],"sparsity":[64],"conditions":[65],"are":[66,92,98],"not":[67],"imposed.":[68],"Firstly,":[69],"mixing":[71,112],"matrix":[72,113,128],"estimated":[74],"based":[75,130],"on":[76,131],"algorithm":[78,126],"that":[79,140],"combines":[80],"short":[81],"time":[82],"Fourier":[83],"transform":[84],"rough-fuzzy":[86],"clustering.":[87],"Then,":[88],"mixed":[90,153],"signals":[91,97,150],"normalized":[93],"recovered":[99],"using":[100],"modified":[101],"Gradient":[102],"descent":[103],"Local":[104],"Hierarchical":[105],"Alternating":[106],"Least":[107],"Squares":[108],"Algorithm":[109],"exploiting":[110],"obtained":[114],"previous":[117],"step":[118],"as":[119],"input":[121],"initialized":[123],"by":[124],"multiplicative":[125],"factorization":[129],"alpha":[132],"divergence.":[133],"The":[134],"experiments":[135],"simulation":[137],"results":[138],"show":[139],"can":[144],"separate":[145],"signals,":[154],"it":[156],"has":[157],"superior":[158],"evaluation":[159],"performance":[160],"compared":[161],"approaches.":[165]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
