{"id":"https://openalex.org/W4392825208","doi":"https://doi.org/10.1109/lsp.2024.3375259","title":"Spectrum Attention Mechanism for a Complex Neural Network","display_name":"Spectrum Attention Mechanism for a Complex Neural Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392825208","doi":"https://doi.org/10.1109/lsp.2024.3375259"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3375259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3375259","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-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/A5101608680","display_name":"Xinzhi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinzhi Liu","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038291633","display_name":"Jun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Kochi University of Technology, Kochi, Japan"],"affiliations":[{"raw_affiliation_string":"Kochi University of Technology, Kochi, Japan","institution_ids":["https://openalex.org/I35568498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065368640","display_name":"Toru Kurihara","orcid":"https://orcid.org/0000-0001-8347-0283"},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Kurihara","raw_affiliation_strings":["Kochi University of Technology, Kochi, Japan"],"affiliations":[{"raw_affiliation_string":"Kochi University of Technology, Kochi, Japan","institution_ids":["https://openalex.org/I35568498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102753369","display_name":"Congzhong Wu","orcid":"https://orcid.org/0009-0008-0862-5220"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congzhong Wu","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023946047","display_name":"Shu Zhan","orcid":"https://orcid.org/0000-0002-5568-0264"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhan","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101608680"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":1.7454,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85937448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"815","last_page":"819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9557999968528748,"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":0.9557999968528748,"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/mechanism","display_name":"Mechanism (biology)","score":0.659323513507843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6528723239898682},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5780353546142578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39181268215179443}],"concepts":[{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.659323513507843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528723239898682},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5780353546142578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39181268215179443},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3375259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3375259","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2047063224","https://openalex.org/W2105482032","https://openalex.org/W2118353118","https://openalex.org/W2143572124","https://openalex.org/W2752782242","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2986451890","https://openalex.org/W2987748894","https://openalex.org/W2994720379","https://openalex.org/W3034771037","https://openalex.org/W3083508853","https://openalex.org/W3175184134","https://openalex.org/W4214666412","https://openalex.org/W4289752563","https://openalex.org/W4315628929","https://openalex.org/W4321374355","https://openalex.org/W4376274839","https://openalex.org/W4385188589","https://openalex.org/W4385245566","https://openalex.org/W4390168626","https://openalex.org/W4391051783","https://openalex.org/W6618372016","https://openalex.org/W6682137061","https://openalex.org/W6738884980","https://openalex.org/W6754427640"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382997850","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829"],"abstract_inverted_index":{"In":[0],"cognitive":[1],"science,":[2],"the":[3,17,22,28,55],"bottleneck":[4],"of":[5,16],"information":[6,19,75],"processing":[7,72],"capabilities":[8],"promotes":[9],"humans":[10],"to":[11,49,77,99,125],"selectively":[12],"focus":[13],"on":[14,38,116],"part":[15],"visible":[18],"while":[20],"ignoring":[21],"rest.":[23],"This":[24],"is":[25,66],"usually":[26],"called":[27],"attention":[29,33,36,92,135],"mechanism.":[30],"Among":[31],"different":[32],"mechanisms,":[34],"spectrum":[35,91],"focuses":[37],"assigning":[39],"every":[40],"frequency":[41,57,103,134],"channel":[42],"obtained":[43],"by":[44,97],"DCT":[45,65,132],"an":[46],"appropriate":[47],"weight":[48],"achieve":[50],"adaptive":[51],"filtering":[52],"and":[53,88,121,131],"sends":[54],"reweighting":[56],"components":[58],"into":[59],"a":[60,67,83,90,101,106,117],"real-valued":[61,68],"neural":[62,94,129],"network.":[63],"However,":[64],"transformation":[69],"for":[70],"signal":[71],"thus":[73],"phase":[74],"tends":[76],"be":[78],"omitted.":[79],"Here":[80],"we":[81],"consider":[82],"departure":[84],"from":[85],"these":[86],"conventions":[87],"propose":[89],"complex":[93,108,128],"network":[95,112],"assisted":[96],"DFT,":[98],"make":[100],"holistic":[102],"analysis":[104],"in":[105],"completely":[107],"domain.":[109],"Our":[110],"proposed":[111],"demonstrates":[113],"outstanding":[114],"performance":[115],"one-dimensional":[118],"hyperspectral":[119],"dataset":[120],"MNIST":[122],"dataset,":[123],"compared":[124],"both":[126],"traditional":[127],"networks":[130],"based":[133],"methods.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}