{"id":"https://openalex.org/W2793812719","doi":"https://doi.org/10.1109/access.2018.2819647","title":"A Method of Fiber Bragg Grating Sensing Signal De-Noise Based on Compressive Sensing","display_name":"A Method of Fiber Bragg Grating Sensing Signal De-Noise Based on Compressive Sensing","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2793812719","doi":"https://doi.org/10.1109/access.2018.2819647","mag":"2793812719"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2819647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2819647","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2819647","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100679260","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-0649-0763"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Chen","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Chongqing, Chongqing, CN"],"raw_orcid":"https://orcid.org/0000-0002-0649-0763","affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Chongqing, Chongqing, CN","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415099","display_name":"Zhiqiang Liu","orcid":"https://orcid.org/0000-0002-6504-0543"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Liu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Chongqing, Chongqing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Chongqing, Chongqing, CN","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004312322","display_name":"Huanlin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanlin Liu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Chongqing, Chongqing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Chongqing, Chongqing, CN","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100679260"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2485,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76317361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"28318","last_page":"28327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/compressed-sensing","display_name":"Compressed sensing","score":0.7508988380432129},{"id":"https://openalex.org/keywords/fiber-bragg-grating","display_name":"Fiber Bragg grating","score":0.6458361744880676},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6166678071022034},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6017674803733826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5711416006088257},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5571281909942627},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5474005341529846},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5071933269500732},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4983518123626709},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.4964328408241272},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.43068018555641174},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3971022367477417},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2875874638557434},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.18507727980613708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1709880530834198},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1232297420501709},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10741192102432251}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7508988380432129},{"id":"https://openalex.org/C43091971","wikidata":"https://www.wikidata.org/wiki/Q1397391","display_name":"Fiber Bragg grating","level":3,"score":0.6458361744880676},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6166678071022034},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6017674803733826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5711416006088257},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5571281909942627},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5474005341529846},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5071933269500732},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4983518123626709},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.4964328408241272},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.43068018555641174},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3971022367477417},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2875874638557434},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.18507727980613708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1709880530834198},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1232297420501709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10741192102432251},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2819647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2819647","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6054ff47a3204342a37875bf12cf009e","is_oa":true,"landing_page_url":"https://doaj.org/article/6054ff47a3204342a37875bf12cf009e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 28318-28327 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2819647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2819647","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G2988921918","display_name":null,"funder_award_id":"NSFC 61275077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2007221293","https://openalex.org/W2119667497","https://openalex.org/W2125523397","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2146842127","https://openalex.org/W2151693816","https://openalex.org/W2291615393","https://openalex.org/W2296616510","https://openalex.org/W2333187078","https://openalex.org/W2390953662","https://openalex.org/W2464313672","https://openalex.org/W2506177984","https://openalex.org/W2534366408","https://openalex.org/W2551000232","https://openalex.org/W2555548944","https://openalex.org/W2563267306","https://openalex.org/W2573864534","https://openalex.org/W2592403035","https://openalex.org/W2733098428","https://openalex.org/W2770112595","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W2601968125","https://openalex.org/W3104324607","https://openalex.org/W4285251805","https://openalex.org/W4206981968","https://openalex.org/W2308961925","https://openalex.org/W2007746536","https://openalex.org/W2370217726"],"abstract_inverted_index":{"A":[0],"novel":[1],"de-noising":[2,150],"method":[3,117],"based":[4],"on":[5],"the":[6,21,24,39,42,46,51,54,58,63,66,79,83,90,99,102,110,131,138,147],"compressive":[7],"sensing":[8,29],"reconstruction":[9,84,142],"algorithm":[10,133],"is":[11,17,31,118,134,144],"proposed":[12,70,132],"in":[13,45],"this":[14],"paper,":[15],"which":[16],"used":[18],"to":[19,77,97],"solve":[20],"problem":[22],"that":[23,109],"fiber":[25],"Bragg":[26],"grating":[27],"(FBG)":[28],"signal":[30,44,56],"easily":[32],"affected":[33],"by":[34],"environment":[35],"interference.":[36],"By":[37],"analyzing":[38],"characteristics":[40],"of":[41,53,65,82,101,115,125,130],"FBG":[43,55],"sparse":[47],"domain,":[48],"we":[49,69,88],"calculated":[50],"sparsity":[52],"through":[57],"exponential":[59],"fitting":[60],"method.":[61],"Considering":[62],"complexity":[64],"traditional":[67],"algorithm,":[68],"a":[71,122],"reasonable":[72],"threshold":[73,149],"for":[74],"selecting":[75],"multi-atom":[76],"reduce":[78],"run":[80,128],"time":[81,129],"algorithm.":[85],"In":[86],"addition,":[87],"designed":[89],"elimination":[91],"strategy":[92],"and":[93,151],"double":[94],"termination":[95],"conditions":[96],"improve":[98],"precision":[100,143],"reconstructed":[103,112],"signal.":[104],"The":[105,127,141],"experiment":[106],"results":[107],"show":[108],"maximum":[111],"signal-to-noise":[113],"ratio":[114],"our":[116],"49.2":[119],"dB,":[120],"with":[121],"relative":[123],"error":[124],"0.0034~0.0074.":[126],"much":[135],"lower":[136],"than":[137],"same-type":[139],"algorithms.":[140],"far":[145],"beyond":[146],"wavelet":[148],"empirical":[152],"mode":[153],"decomposition.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}