{"id":"https://openalex.org/W3107308225","doi":"https://doi.org/10.1109/icspcc50002.2020.9259559","title":"Convolution-Enhanced LSTM Neural Network Post-Equalizer used in Probabilistic Shaped Underwater VLC System","display_name":"Convolution-Enhanced LSTM Neural Network Post-Equalizer used in Probabilistic Shaped Underwater VLC System","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3107308225","doi":"https://doi.org/10.1109/icspcc50002.2020.9259559","mag":"3107308225"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc50002.2020.9259559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc50002.2020.9259559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5039097955","display_name":"Zhongya Li","orcid":"https://orcid.org/0000-0003-1247-2059"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongya Li","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021290324","display_name":"Fangchen Hu","orcid":"https://orcid.org/0000-0003-3859-1558"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangchen Hu","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354158","display_name":"Guoqiang Li","orcid":"https://orcid.org/0000-0002-7704-2984"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Li","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111394086","display_name":"Peng Zou","orcid":"https://orcid.org/0009-0004-1372-9236"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zou","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636443","display_name":"Chaofan Wang","orcid":"https://orcid.org/0000-0002-3186-005X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofan Wang","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081905634","display_name":"Nan Chi","orcid":"https://orcid.org/0000-0003-4966-3844"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Chi","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039097955"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.9247,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.75108041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"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/T10232","display_name":"Optical Network Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10232","display_name":"Optical Network Technologies","score":1.0,"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/T10851","display_name":"Optical Wireless Communication Technologies","score":0.9997000098228455,"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/T10767","display_name":"Advanced Photonic Communication Systems","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.7508687973022461},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6632533073425293},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6044527292251587},{"id":"https://openalex.org/keywords/visible-light-communication","display_name":"Visible light communication","score":0.5693163275718689},{"id":"https://openalex.org/keywords/adaptive-equalizer","display_name":"Adaptive equalizer","score":0.558514416217804},{"id":"https://openalex.org/keywords/equalizer","display_name":"Equalizer","score":0.5474902987480164},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5451561212539673},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.497304230928421},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.47153621912002563},{"id":"https://openalex.org/keywords/volterra-series","display_name":"Volterra series","score":0.4610106348991394},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4432191252708435},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.3877485394477844},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34565380215644836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34332603216171265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2999137341976166},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.23184308409690857},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.22328659892082214},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2076982855796814},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10964322090148926},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08022329211235046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508687973022461},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6632533073425293},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6044527292251587},{"id":"https://openalex.org/C160487672","wikidata":"https://www.wikidata.org/wiki/Q1426313","display_name":"Visible light communication","level":3,"score":0.5693163275718689},{"id":"https://openalex.org/C25125847","wikidata":"https://www.wikidata.org/wiki/Q4680741","display_name":"Adaptive equalizer","level":4,"score":0.558514416217804},{"id":"https://openalex.org/C67545415","wikidata":"https://www.wikidata.org/wiki/Q5384218","display_name":"Equalizer","level":3,"score":0.5474902987480164},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5451561212539673},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.497304230928421},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.47153621912002563},{"id":"https://openalex.org/C2778532037","wikidata":"https://www.wikidata.org/wiki/Q3957891","display_name":"Volterra series","level":3,"score":0.4610106348991394},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4432191252708435},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3877485394477844},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34565380215644836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34332603216171265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2999137341976166},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.23184308409690857},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.22328659892082214},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2076982855796814},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10964322090148926},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08022329211235046},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C176666156","wikidata":"https://www.wikidata.org/wiki/Q25504","display_name":"Light-emitting diode","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc50002.2020.9259559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc50002.2020.9259559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2242534227","https://openalex.org/W2296257523","https://openalex.org/W2790527734","https://openalex.org/W2798360594","https://openalex.org/W2801605625","https://openalex.org/W2883574602","https://openalex.org/W2893078023","https://openalex.org/W2919338298","https://openalex.org/W2963179464","https://openalex.org/W2967175649","https://openalex.org/W3009152700","https://openalex.org/W3009867961","https://openalex.org/W3012976165","https://openalex.org/W6749300404"],"related_works":["https://openalex.org/W2134609937","https://openalex.org/W1975314232","https://openalex.org/W1900611585","https://openalex.org/W2110161338","https://openalex.org/W2356830798","https://openalex.org/W1993702283","https://openalex.org/W2919629869","https://openalex.org/W1556157122","https://openalex.org/W1566847826","https://openalex.org/W3107308225"],"abstract_inverted_index":{"We":[0],"proposed":[1,34],"a":[2,55],"convolution-enhanced":[3],"long":[4],"shortterm":[5],"memory":[6],"(CE-LSTM)":[7],"neural":[8],"network":[9,73],"as":[10],"the":[11,33,37,48,60,67,82],"equalizer":[12,35,41],"to":[13,70],"overcome":[14],"severe":[15],"linear":[16],"and":[17,42,50,81],"nonlinear":[18],"distortion":[19],"in":[20,76],"underwater":[21],"visible":[22],"light":[23],"communication":[24],"(UVLC)":[25],"system":[26],"with":[27,36,74,97],"probabilistic":[28],"shaping":[29],"technologies.":[30],"By":[31],"comparing":[32],"traditional":[38],"Volterra-series":[39],"based":[40,57],"normal":[43],"LSTM-based":[44],"equalizer,":[45],"we":[46],"demonstrated":[47],"efficiency":[49],"performance":[51],"advantages":[52],"of":[53,62,79,88],"using":[54],"CE-LSTM":[56],"equalizer.":[58],"To":[59],"best":[61],"our":[63],"knowledge,":[64],"this":[65],"is":[66,91],"first":[68],"practice":[69],"combine":[71],"convolution":[72],"LSTM":[75],"equalization":[77],"scheme":[78],"UVLC":[80,96],"highest":[83],"achievable":[84],"information":[85],"rate":[86],"(AIR)":[87],"3.53":[89],"Gbit/s":[90],"achieved":[92],"for":[93],"single":[94],"LED-based":[95],"PS.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}