{"id":"https://openalex.org/W4386066750","doi":"https://doi.org/10.1109/smartnets58706.2023.10215941","title":"Fading Channel Classification with Walsh-Hadamard Transform and Convolutional Neural Network","display_name":"Fading Channel Classification with Walsh-Hadamard Transform and Convolutional Neural Network","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4386066750","doi":"https://doi.org/10.1109/smartnets58706.2023.10215941"},"language":"en","primary_location":{"id":"doi:10.1109/smartnets58706.2023.10215941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets58706.2023.10215941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","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/A5006463391","display_name":"Gianmarco Baldini","orcid":"https://orcid.org/0000-0003-4830-1227"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gianmarco Baldini","raw_affiliation_strings":["European Commission, Joint Research Centre,Ispra,Italy","European Commission, Joint Research Centre, Ispra, Italy"],"affiliations":[{"raw_affiliation_string":"European Commission, Joint Research Centre,Ispra,Italy","institution_ids":["https://openalex.org/I4210118689"]},{"raw_affiliation_string":"European Commission, Joint Research Centre, Ispra, Italy","institution_ids":["https://openalex.org/I4210118689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021380730","display_name":"Fausto Bonavitacola","orcid":"https://orcid.org/0009-0003-4340-6043"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fausto Bonavitacola","raw_affiliation_strings":["Picsel,Italy","Picsel, Italy"],"affiliations":[{"raw_affiliation_string":"Picsel,Italy","institution_ids":[]},{"raw_affiliation_string":"Picsel, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067360205","display_name":"Jean-Marc Chareau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Jean-Marc Chareau","raw_affiliation_strings":["European Commission, Joint Research Centre,Ispra,Italy","European Commission, Joint Research Centre, Ispra, Italy"],"affiliations":[{"raw_affiliation_string":"European Commission, Joint Research Centre,Ispra,Italy","institution_ids":["https://openalex.org/I4210118689"]},{"raw_affiliation_string":"European Commission, Joint Research Centre, Ispra, Italy","institution_ids":["https://openalex.org/I4210118689"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006463391"],"corresponding_institution_ids":["https://openalex.org/I4210118689"],"apc_list":null,"apc_paid":null,"fwci":0.2678,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53593952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991999864578247,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991999864578247,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hadamard-transform","display_name":"Hadamard transform","score":0.9056285619735718},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.8440051078796387},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7009114027023315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6242138743400574},{"id":"https://openalex.org/keywords/walsh-function","display_name":"Walsh function","score":0.4893152415752411},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4181220829486847},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4116586446762085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3626755475997925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35275572538375854},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3427034616470337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33914846181869507},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2730991542339325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2004694640636444},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.09549805521965027}],"concepts":[{"id":"https://openalex.org/C60292330","wikidata":"https://www.wikidata.org/wiki/Q1014065","display_name":"Hadamard transform","level":2,"score":0.9056285619735718},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.8440051078796387},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7009114027023315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6242138743400574},{"id":"https://openalex.org/C164319782","wikidata":"https://www.wikidata.org/wiki/Q1934233","display_name":"Walsh function","level":2,"score":0.4893152415752411},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4181220829486847},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4116586446762085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3626755475997925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35275572538375854},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3427034616470337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33914846181869507},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2730991542339325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2004694640636444},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.09549805521965027},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartnets58706.2023.10215941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets58706.2023.10215941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2042651764","https://openalex.org/W2807927039","https://openalex.org/W2922917519","https://openalex.org/W2953473266","https://openalex.org/W3012158304","https://openalex.org/W3033032209","https://openalex.org/W3035328184","https://openalex.org/W3094858950","https://openalex.org/W3106902366","https://openalex.org/W4243588465","https://openalex.org/W4294647415","https://openalex.org/W4312717387","https://openalex.org/W4313389213"],"related_works":["https://openalex.org/W4385456289","https://openalex.org/W3100437958","https://openalex.org/W2011252634","https://openalex.org/W2303723627","https://openalex.org/W2513780272","https://openalex.org/W1983699456","https://openalex.org/W2101698554","https://openalex.org/W281425268","https://openalex.org/W2567265172","https://openalex.org/W1998849373"],"abstract_inverted_index":{"Fading":[0],"channel":[1,18,62,117,143,174],"classification":[2],"is":[3,75,147,166,191],"a":[4,76,83,86,150,173,180],"useful":[5],"function":[6],"in":[7,26,50,95,100,110,172,179,197],"the":[8,14,17,23,27,32,37,43,46,58,67,101,132,140,158,162,188,201,206,211,214,220,223],"design":[9],"of":[10,16,45,60,70,88,135,142,153,161,199,203,210,222],"wireless":[11,28,102,112],"communications":[12,113],"because":[13],"knowledge":[15],"state":[19],"information":[20,33],"can":[21],"help":[22],"subsequent":[24],"steps":[25],"communication":[29,103],"processing":[30,97],"including":[31,115],"symbols":[34],"extraction":[35],"from":[36,157],"received":[38],"signal.":[39],"This":[40,129],"paper":[41,130],"proposes":[42],"application":[44,202],"Walsh-Hadamard":[47],"Transform":[48],"(WHT)":[49],"combination":[51,134],"with":[52,137,177],"Convolutional":[53],"Neural":[54],"Network":[55],"(CNN)":[56],"for":[57,139],"problem":[59,141],"fading":[61,116,170],"classification.":[63,144],"WHT":[64,91,136],"belongs":[65],"to":[66,123,149,168,193],"generalized":[68],"class":[69],"Fourier":[71,224],"transforms":[72],"and":[73,226],"it":[74,120],"non-sinusoidal,":[77],"orthogonal":[78],"transformation":[79],"technique":[80],"that":[81,187],"decomposes":[82],"signal":[84,212],"into":[85],"set":[87,152],"Walsh":[89],"functions.":[90],"has":[92,106,121],"been":[93,107],"used":[94,109],"image":[96],"but":[98],"less":[99],"domain.":[104],"CNN":[105,138,204],"recently":[108],"many":[111],"problems":[114],"classification,":[118],"where":[119],"shown":[122],"outperform":[124,195],"\u2019shallow\u2019":[125],"machine":[126],"learning":[127],"algorithms.":[128],"presents":[131],"novel":[133],"The":[145,184],"approach":[146,190],"applied":[148],"data":[151],"chirp":[154],"signals":[155],"derived":[156],"technical":[159],"specification":[160],"radar":[163],"altimeter,":[164],"which":[165],"submitted":[167],"different":[169],"conditions":[171],"emulator":[175],"implemented":[176],"FPGA":[178],"radio":[181],"frequency":[182],"laboratory.":[183],"results":[185],"show":[186],"proposed":[189],"able":[192],"significantly":[194],"(especially":[196],"presence":[198],"noise)":[200],"on":[205,219],"original":[207],"time-based":[208],"representation":[209,217],"or":[213],"spectral":[215],"domain":[216],"based":[218],"use":[221],"transform":[225],"Wavelet":[227],"transform.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
