{"id":"https://openalex.org/W4316465026","doi":"https://doi.org/10.3390/s23021023","title":"Dual Residual Denoising Autoencoder with Channel Attention Mechanism for Modulation of Signals","display_name":"Dual Residual Denoising Autoencoder with Channel Attention Mechanism for Modulation of Signals","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4316465026","doi":"https://doi.org/10.3390/s23021023","pmid":"https://pubmed.ncbi.nlm.nih.gov/36679819"},"language":"en","primary_location":{"id":"doi:10.3390/s23021023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23021023","pdf_url":"https://www.mdpi.com/1424-8220/23/2/1023/pdf?version=1673853284","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/2/1023/pdf?version=1673853284","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001674893","display_name":"Ruifeng Duan","orcid":"https://orcid.org/0000-0002-6278-933X"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Duan","raw_affiliation_strings":["Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373629","display_name":"Ziyu Chen","orcid":"https://orcid.org/0000-0002-5726-3018"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Chen","raw_affiliation_strings":["Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0002-5726-3018","affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325500","display_name":"Haiyan Zhang","orcid":"https://orcid.org/0000-0002-8629-2838"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyan Zhang","raw_affiliation_strings":["Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407868","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-3973-2060"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008175534","display_name":"Wei Meng","orcid":"https://orcid.org/0000-0002-8513-5013"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Meng","raw_affiliation_strings":["Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008995969","display_name":"Guodong Sun","orcid":"https://orcid.org/0000-0003-3739-2792"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Sun","raw_affiliation_strings":["Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0003-3739-2792","affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100325500"],"corresponding_institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.8969,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92363042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"23","issue":"2","first_page":"1023","last_page":"1023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9991000294685364,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9991000294685364,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9868000149726868,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.8255864381790161},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.670367419719696},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.659680962562561},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6379238367080688},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5990673899650574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5937654972076416},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.5475814938545227},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5103058218955994},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4977138340473175},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46648386120796204},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44203028082847595},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4400058388710022},{"id":"https://openalex.org/keywords/qam","display_name":"QAM","score":0.433445543050766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41532260179519653},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4088936746120453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40417277812957764},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3722366392612457},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.25309136509895325},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2166757583618164},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14309367537498474},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10256704688072205},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07758894562721252}],"concepts":[{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.8255864381790161},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.670367419719696},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.659680962562561},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6379238367080688},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5990673899650574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5937654972076416},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.5475814938545227},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5103058218955994},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4977138340473175},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46648386120796204},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44203028082847595},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4400058388710022},{"id":"https://openalex.org/C59030546","wikidata":"https://www.wikidata.org/wiki/Q7265371","display_name":"QAM","level":5,"score":0.433445543050766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41532260179519653},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4088936746120453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40417277812957764},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3722366392612457},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.25309136509895325},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2166757583618164},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14309367537498474},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10256704688072205},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07758894562721252},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23021023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23021023","pdf_url":"https://www.mdpi.com/1424-8220/23/2/1023/pdf?version=1673853284","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36679819","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36679819","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9861137","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9861137","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9861137/pdf/sensors-23-01023.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:abda16147f1c48158cbf3b77aece23d1","is_oa":true,"landing_page_url":"https://doaj.org/article/abda16147f1c48158cbf3b77aece23d1","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 2, p 1023 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/2/1023/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23021023","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 2; Pages: 1023","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23021023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23021023","pdf_url":"https://www.mdpi.com/1424-8220/23/2/1023/pdf?version=1673853284","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G200244127","display_name":null,"funder_award_id":"L202003","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G2903984249","display_name":null,"funder_award_id":"BLX201623","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4374409727","display_name":null,"funder_award_id":"BLX201623","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4918349993","display_name":null,"funder_award_id":"L202003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5773760177","display_name":null,"funder_award_id":"No.31700479","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6137086291","display_name":null,"funder_award_id":"No.31700479","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G6859064998","display_name":null,"funder_award_id":"L202003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8865589708","display_name":null,"funder_award_id":"BLX201623","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8902132721","display_name":null,"funder_award_id":"No.31700479","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4316465026.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W62203920","https://openalex.org/W1513236514","https://openalex.org/W2062515778","https://openalex.org/W2104427689","https://openalex.org/W2108473160","https://openalex.org/W2111993126","https://openalex.org/W2154011501","https://openalex.org/W2194775991","https://openalex.org/W2272847350","https://openalex.org/W2508457857","https://openalex.org/W2541249884","https://openalex.org/W2574952845","https://openalex.org/W2782659676","https://openalex.org/W2795777276","https://openalex.org/W2810053141","https://openalex.org/W2918259707","https://openalex.org/W2924617522","https://openalex.org/W2963420686","https://openalex.org/W2971811912","https://openalex.org/W2980612010","https://openalex.org/W2995766874","https://openalex.org/W3000582401","https://openalex.org/W3013496609","https://openalex.org/W3017424432","https://openalex.org/W3035632929","https://openalex.org/W3107214063","https://openalex.org/W3110194847","https://openalex.org/W3117099078","https://openalex.org/W3133671608","https://openalex.org/W4293652312","https://openalex.org/W7037716092"],"related_works":["https://openalex.org/W4390873927","https://openalex.org/W2350210624","https://openalex.org/W3137781708","https://openalex.org/W2389109173","https://openalex.org/W2147334234","https://openalex.org/W2159438609","https://openalex.org/W2900995485","https://openalex.org/W3196902411","https://openalex.org/W2064534496","https://openalex.org/W2139936226"],"abstract_inverted_index":{"Aiming":[0],"to":[1,40,43,84,115,192,214,238],"address":[2],"the":[3,6,45,77,80,87,90,95,99,102,110,117,127,135,139,147,156,165,174,179,187,200,215,219,223,231,239,243,246,250,255,268,284,288],"problems":[4],"of":[5,12,18,47,54,89,98,130,138,182,189,257,262,270,275],"high":[7],"bit":[8],"error":[9],"rate":[10],"(BER)":[11],"demodulation":[13],"or":[14],"low":[15,23],"classification":[16,225],"accuracy":[17,226],"modulation":[19,48,91,131,184],"signals":[20,92,132],"with":[21,34,242],"a":[22,29,35,59],"signal-to-noise":[24],"ratio":[25],"(SNR),":[26],"we":[27],"propose":[28],"double-residual":[30],"denoising":[31,166,217,248,252],"autoencoder":[32,78],"method":[33,158,253],"channel":[36,81],"attention":[37,82],"mechanism,":[38,83],"referred":[39],"as":[41,79],"DRdA-CA,":[42],"improve":[44],"SNR":[46,180,201,233],"signals.":[49],"The":[50,141,168,279],"proposed":[51,157,175,220,251,285],"DRdA-CA":[52,176,221,286],"consists":[53],"an":[55,160,260,273],"encoding":[56,111],"module":[57,66,150],"and":[58,73,93,112,133,151,198,207,245,264,266,277],"decoding":[60,113],"module.":[61],"A":[62],"squeeze-and-excitation":[63],"(SE)":[64],"ResNet":[65],"containing":[67],"one":[68],"residual":[69,104,153],"connection":[70,105],"is":[71,106,122,202],"modified":[72],"then":[74],"introduced":[75],"into":[76],"better":[85],"extract":[86],"characteristics":[88],"reduce":[94],"computational":[96],"complexity":[97],"model.":[100],"Moreover,":[101],"other":[103],"further":[107],"added":[108],"inside":[109],"modules":[114],"optimize":[116],"network":[118],"degradation":[119],"problem,":[120],"which":[121],"beneficial":[123],"for":[124,196],"fully":[125],"exploiting":[126],"multi-level":[128],"features":[129],"improving":[134,164],"reconstruction":[136],"quality":[137],"signal.":[140],"ablation":[142],"experiments":[143],"prove":[144],"that":[145,173,283],"both":[146],"improved":[148,203],"SE":[149],"dual":[152],"connections":[154],"in":[155,163,186],"play":[159],"important":[161],"role":[162],"performance.":[167],"subsequent":[169],"experimental":[170],"results":[171,281],"show":[172,282],"significantly":[177],"improves":[178],"values":[181],"eight":[183],"types":[185],"range":[188],"-12":[190],"dB":[191,206,209],"8":[193],"dB.":[194],"Especially":[195],"16QAM":[197,258],"64QAM,":[199],"by":[204,228,259,272],"8.38":[205],"8.27":[208],"on":[210],"average,":[211],"respectively.":[212],"Compared":[213],"DnCNN":[216,247],"method,":[218],"makes":[222],"average":[224,261,274],"increase":[227],"67.59\u223c74.94%":[229],"over":[230],"entire":[232],"range.":[234],"When":[235],"it":[236],"comes":[237],"demodulation,":[240],"compared":[241],"RLS":[244],"algorithms,":[249],"reduces":[254,267],"BER":[256,269],"63.5%":[263],"40.5%,":[265],"64QAM":[271],"46.7%":[276],"18.6%.":[278],"above":[280],"achieves":[287],"optimal":[289],"noise":[290],"reduction":[291],"effect.":[292]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}