{"id":"https://openalex.org/W2168332543","doi":"https://doi.org/10.1109/icnc.2008.798","title":"The Noise Reduction of Structural Multichannel Signals Based on Independent Component Analysis","display_name":"The Noise Reduction of Structural Multichannel Signals Based on Independent Component Analysis","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2168332543","doi":"https://doi.org/10.1109/icnc.2008.798","mag":"2168332543"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2008.798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2008.798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 Fourth International Conference on Natural Computation","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/A5029741928","display_name":"Yan Yang","orcid":"https://orcid.org/0000-0001-5598-1692"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Yang","raw_affiliation_strings":["Technology Research Center, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Technology Research Center, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111907712","display_name":"Haiqing Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-qing Yuan","raw_affiliation_strings":["College of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386450","display_name":"Ji Wang","orcid":"https://orcid.org/0000-0002-0724-7538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji Wang","raw_affiliation_strings":["Hubei Key Laboratory of Roadway Bridge and Structural Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Roadway Bridge and Structural Engineering, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029741928"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2009178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"633","last_page":"637"},"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/T10320","display_name":"Neural Networks and Applications","score":0.989799976348877,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9746999740600586,"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/noise-reduction","display_name":"Noise reduction","score":0.7864689826965332},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.773438572883606},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7088148593902588},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5655944347381592},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.563008189201355},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5627641677856445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5449806451797485},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5380039215087891},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4890035390853882},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4703004062175751},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44563838839530945},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43784040212631226},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4268716871738434},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3575684130191803},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3227139711380005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2778157591819763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.252052366733551},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2332039475440979},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14400404691696167},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09579071402549744}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7864689826965332},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.773438572883606},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7088148593902588},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5655944347381592},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.563008189201355},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5627641677856445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5449806451797485},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5380039215087891},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4890035390853882},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4703004062175751},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44563838839530945},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43784040212631226},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4268716871738434},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3575684130191803},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3227139711380005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2778157591819763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.252052366733551},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2332039475440979},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14400404691696167},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09579071402549744},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2008.798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2008.798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 Fourth International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W39684164","https://openalex.org/W1498369575","https://openalex.org/W1548802052","https://openalex.org/W2350151556","https://openalex.org/W2352083905","https://openalex.org/W2386147089","https://openalex.org/W2388348259","https://openalex.org/W2389552613","https://openalex.org/W6601579552","https://openalex.org/W6632744857"],"related_works":["https://openalex.org/W2978270519","https://openalex.org/W2360100701","https://openalex.org/W2362299104","https://openalex.org/W4287867034","https://openalex.org/W4385545089","https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W2142924612","https://openalex.org/W3005783148","https://openalex.org/W2004821155"],"abstract_inverted_index":{"In":[0,112,125],"practice,":[1],"there":[2],"are":[3,51,151],"various":[4],"noises":[5,94],"mixed":[6],"into":[7,42],"structural":[8,65],"vibration":[9,49,66,139,149],"signals":[10,14,38,77,147,168],"and":[11,48,141,165],"the":[12,36,57,64,75,80,86,90,102,108,122,126,133,138,166],"useful":[13],"maybe":[15],"covered":[16],"up":[17],"by":[18,95,153],"noise.":[19],"Independent":[20],"component":[21],"analysis":[22],"(ICA)":[23],"is":[24,60,71,88,135,163],"one":[25],"kind":[26],"of":[27,33,83,148,157],"effectual":[28],"signal":[29,50],"processing":[30],"technology.":[31],"Using":[32],"this":[34,113],"method,":[35],"multichannel":[37],"can":[39],"be":[40],"separated":[41],"some":[43],"independent":[44,53],"components.":[45],"Because":[46,85],"noise":[47,69,87,103,118,144,158],"statistical":[52],"to":[54,62,73,78,100,106,132],"each":[55],"other,":[56],"ICA":[58],"method":[59,92],"introduced":[61],"denoise":[63],"signals.":[67],"A":[68],"channel":[70,98,119],"added":[72],"amplify":[74],"sensor":[76],"satisfy":[79],"calculation":[81],"condition":[82],"ICA.":[84,154],"unknown,":[89],"usual":[91],"simulating":[93,123],"numerical":[96],"dummy":[97],"needs":[99],"adjust":[101],"type":[104],"unceasingly":[105],"obtain":[107],"perfect":[109],"denoising":[110],"effect.":[111],"paper,":[114],"an":[115],"actual":[116],"testing":[117],"substitutes":[120],"for":[121],"channel.":[124,145],"laboratory,":[127],"a":[128],"sensor,":[129],"static":[130],"relatively":[131],"ground,":[134],"placed":[136],"outside":[137],"structure":[140],"regarded":[142],"as":[143],"The":[146,155],"experiment":[150],"processed":[152],"effect":[156],"reduction":[159],"compared":[160],"with":[161],"wavelet":[162],"satisfied":[164],"denoised":[167],"do":[169],"not":[170],"change":[171],"its":[172],"dynamic":[173],"characteristic.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
