{"id":"https://openalex.org/W2001746577","doi":"https://doi.org/10.4304/jcp.9.4.982-989","title":"A Neural Learning Algorithm of Blind Separation of Noisy Mixed Images Based on Independent Component Analysis","display_name":"A Neural Learning Algorithm of Blind Separation of Noisy Mixed Images Based on Independent Component Analysis","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2001746577","doi":"https://doi.org/10.4304/jcp.9.4.982-989","mag":"2001746577"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.4.982-989","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.4.982-989","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-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/A5100455600","display_name":"Hongyan Li","orcid":"https://orcid.org/0000-0003-1464-5128"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongyan Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445969","display_name":"Xueying Zhang","orcid":"https://orcid.org/0000-0002-2035-0329"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueying Zhang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100455600"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07719907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"4","first_page":null,"last_page":null},"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":0.970300018787384,"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/T10320","display_name":"Neural Networks and Applications","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.923319935798645},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.8817886114120483},{"id":"https://openalex.org/keywords/windage","display_name":"Windage","score":0.8659511804580688},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7039158940315247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943917274475098},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6886208057403564},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5940272212028503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.593378484249115},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5297266840934753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47469016909599304},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.45100557804107666},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4386884570121765},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.41040849685668945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3832429349422455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20784682035446167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12521183490753174},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.07706934213638306}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.923319935798645},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.8817886114120483},{"id":"https://openalex.org/C81746177","wikidata":"https://www.wikidata.org/wiki/Q4346098","display_name":"Windage","level":2,"score":0.8659511804580688},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7039158940315247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943917274475098},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6886208057403564},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5940272212028503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.593378484249115},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5297266840934753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47469016909599304},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.45100557804107666},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4386884570121765},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.41040849685668945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3832429349422455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20784682035446167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12521183490753174},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.07706934213638306},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.9.4.982-989","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.4.982-989","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1513062004","https://openalex.org/W1978271502","https://openalex.org/W1991489359","https://openalex.org/W2019502123","https://openalex.org/W2037038993","https://openalex.org/W2071912880","https://openalex.org/W2092424368","https://openalex.org/W2101303708","https://openalex.org/W2104821207","https://openalex.org/W2108357193","https://openalex.org/W2140612193","https://openalex.org/W2141224535","https://openalex.org/W2357573420","https://openalex.org/W2359889191","https://openalex.org/W2380502928","https://openalex.org/W6675538874","https://openalex.org/W6680764553","https://openalex.org/W6680799230","https://openalex.org/W7008397214"],"related_works":["https://openalex.org/W2046761971","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W2370924545","https://openalex.org/W2553224454","https://openalex.org/W1503525627","https://openalex.org/W3112853371"],"abstract_inverted_index":{"Blind":[0],"source":[1,44],"separation":[2,45,83],"problem":[3],"has":[4],"recently":[5],"received":[6],"a":[7,117,143],"great":[8],"deal":[9,48],"of":[10,53,81,115,140,169],"attention":[11],"in":[12,40],"signal":[13],"processing":[14],"and":[15,103,161,167,174],"unsupervised":[16],"neural":[17,78,118,171],"learning.":[18],"In":[19,55],"the":[20,23,35,51,66,100,104,113,137,149,153,165,170,185],"current":[21],"approaches,":[22],"additive":[24,72],"noise":[25,95],"is":[26,84,109,124,146],"negligible":[27],"so":[28],"that":[29],"it":[30],"can":[31,156,183],"be":[32,38],"omitted":[33],"from":[34,131],"consideration.":[36],"To":[37],"applicable":[39],"realistic":[41],"scenarios,":[42],"blind":[43,82],"approaches":[46,60],"should":[47],"evenly":[49],"with":[50],"presence":[52],"noise.":[54,73],"this":[56],"contribution,":[57],"we":[58],"proposed":[59,85],"to":[61,98,111,126],"independent":[62,88,179],"component":[63,89,180],"analysis":[64],"when":[65],"measured":[67],"signals":[68,130],"are":[69,96],"contaminated":[70],"by":[71,136],"A":[74],"noisy":[75,101,133],"multiple":[76],"channels":[77],"learning":[79],"algorithm":[80,155],"based":[86,177],"on":[87,178],"analysis.":[90],"The":[91],"data":[92],"have":[93],"no":[94],"used":[97,110],"whiten":[99],"data,":[102],"windage":[105],"wipe":[106],"off":[107],"technique":[108],"correct":[112],"infection":[114],"noise,":[116],"network":[119,172],"model":[120],"having":[121],"denoise":[122],"capability":[123],"adopted":[125],"recover":[127],"some":[128],"original":[129,186],"their":[132],"mixtures":[134],"observed":[135],"same":[138],"number":[139],"sensors.":[141],"And":[142],"relaxation":[144],"factor":[145],"introduced":[147],"into":[148],"iteration":[150],"algorithm,":[151],"thus":[152],"new":[154],"implement":[157],"convergence.":[158],"Computer":[159],"simulations":[160],"experiment":[162],"results":[163],"prove":[164],"feasibility":[166],"validity":[168],"modeling":[173],"control":[175],"method":[176],"analysis,":[181],"which":[182],"renew":[184],"images":[187],"effectively.":[188]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}