{"id":"https://openalex.org/W4400230203","doi":"https://doi.org/10.1109/iscas58744.2024.10558009","title":"Noise Decomposition Based on VGG and LSTM Networks","display_name":"Noise Decomposition Based on VGG and LSTM Networks","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400230203","doi":"https://doi.org/10.1109/iscas58744.2024.10558009"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558009","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5067561352","display_name":"Yanze Zheng","orcid":"https://orcid.org/0000-0001-6707-9997"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanze Zheng","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017191801","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-1239-3441"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088837758","display_name":"Naixin Zhou","orcid":"https://orcid.org/0000-0001-5044-5890"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naixin Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101708652","display_name":"Shibo Chen","orcid":"https://orcid.org/0000-0002-9522-8934"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibo Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067603229","display_name":"Yijiu Zhao","orcid":"https://orcid.org/0000-0002-5654-4379"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijiu Zhao","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07371049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8636000156402588,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8636000156402588,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.8450000286102295,"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"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8395000100135803,"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/computer-science","display_name":"Computer science","score":0.7201472520828247},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6878968477249146},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6173076033592224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.455182284116745},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36548542976379395},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.05289676785469055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201472520828247},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6878968477249146},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6173076033592224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.455182284116745},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36548542976379395},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.05289676785469055},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558009","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1500801837","https://openalex.org/W2037718968","https://openalex.org/W2038256938","https://openalex.org/W2064675550","https://openalex.org/W2092849420","https://openalex.org/W2099741732","https://openalex.org/W2113158412","https://openalex.org/W2154828290","https://openalex.org/W3010717703","https://openalex.org/W3042820176"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"a":[3,11,20],"sampling":[4],"system":[5],"noise":[6,29,82,87,114,134],"decomposition":[7],"strategy":[8],"based":[9],"on":[10],"visual":[12],"geometry":[13],"group":[14],"(VGG)":[15],"convolutional":[16],"neural":[17],"network":[18,76,107],"and":[19,38,136],"long":[21],"short-term":[22],"memory":[23],"(LSTM)":[24],"prediction":[25,106],"network.":[26],"Three":[27],"typical":[28],"components":[30,135],"in":[31,43,93],"acquisition":[32],"systems\u2014Gaussian":[33],"white":[34],"noise,":[35,37],"quantization":[36],"device":[39],"1/f":[40],"noise\u2014are":[41],"considered":[42],"our":[44],"analysis.":[45],"The":[46,54,84,116],"proposed":[47],"approach":[48],"is":[49,56,89],"separated":[50],"into":[51],"two":[52],"parts.":[53],"first":[55],"the":[57,62,70,74,90,98,104,110,121,132,139],"classification":[58,80,126],"system,":[59],"which":[60,94],"adopts":[61],"independent":[63],"component":[64,143],"analysis":[65],"(ICA)":[66],"method":[67,123],"to":[68,77,103,108],"preprocess":[69],"samples":[71],"before":[72],"employing":[73],"VGG16":[75],"perform":[78],"autonomous":[79],"of":[81,86,97,112,141],"components.":[83],"estimation":[85],"power":[88,111,140],"second":[91],"task,":[92],"14":[95],"features":[96],"acquired":[99],"signals":[100,130],"are":[101],"fed":[102],"LSTM":[105],"estimate":[109,138],"each":[113,142],"component.":[115],"simulation":[117],"results":[118,127],"demonstrate":[119],"that":[120],"suggested":[122],"has":[124],"reliable":[125],"for":[128],"mixed":[129],"comprising":[131],"three":[133],"can":[137],"accurately.":[144]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}