{"id":"https://openalex.org/W4407361471","doi":"https://doi.org/10.1109/ispacs62486.2024.10868237","title":"A Consideration on Noise Variance Estimation for Direct Blind Equalization with OFDM Environment","display_name":"A Consideration on Noise Variance Estimation for Direct Blind Equalization with OFDM Environment","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4407361471","doi":"https://doi.org/10.1109/ispacs62486.2024.10868237"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs62486.2024.10868237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs62486.2024.10868237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5104095580","display_name":"Minoru Komatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160526","display_name":"Suwa Red Cross Hospital","ror":"https://ror.org/05t626n88","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I2799517759","https://openalex.org/I4210160526"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Minoru Komatsu","raw_affiliation_strings":["Suwa University of Science,Chino,Japan"],"affiliations":[{"raw_affiliation_string":"Suwa University of Science,Chino,Japan","institution_ids":["https://openalex.org/I4210160526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108521727","display_name":"Nari Tanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160526","display_name":"Suwa Red Cross Hospital","ror":"https://ror.org/05t626n88","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I2799517759","https://openalex.org/I4210160526"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nari Tanabe","raw_affiliation_strings":["Suwa University of Science,Chino,Japan"],"affiliations":[{"raw_affiliation_string":"Suwa University of Science,Chino,Japan","institution_ids":["https://openalex.org/I4210160526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012816521","display_name":"Hiroki Matsumoto","orcid":"https://orcid.org/0000-0003-4044-0281"},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Matsumoto","raw_affiliation_strings":["Maebashi Institute of technology,Maebashi,Japan"],"affiliations":[{"raw_affiliation_string":"Maebashi Institute of technology,Maebashi,Japan","institution_ids":["https://openalex.org/I153470267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104095580"],"corresponding_institution_ids":["https://openalex.org/I4210160526"],"apc_list":null,"apc_paid":null,"fwci":0.2225,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57540949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9803000092506409,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9803000092506409,"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":0.9718999862670898,"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"}},{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.968999981880188,"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/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6778621077537537},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.6520466804504395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6223436594009399},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.6093334555625916},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5620396137237549},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5464202761650085},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5422296524047852},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.37966811656951904},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.27309533953666687},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1795232594013214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17577019333839417},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.06244823336601257},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.05681261420249939}],"concepts":[{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6778621077537537},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.6520466804504395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6223436594009399},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.6093334555625916},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5620396137237549},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5464202761650085},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5422296524047852},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.37966811656951904},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.27309533953666687},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1795232594013214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17577019333839417},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.06244823336601257},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.05681261420249939},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs62486.2024.10868237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs62486.2024.10868237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2058679464","https://openalex.org/W2131459466","https://openalex.org/W2135134475","https://openalex.org/W2942014625"],"related_works":["https://openalex.org/W2545553786","https://openalex.org/W2349154090","https://openalex.org/W2993703512","https://openalex.org/W2133621247","https://openalex.org/W2186363603","https://openalex.org/W2384751807","https://openalex.org/W2118910124","https://openalex.org/W2381494073","https://openalex.org/W5068284","https://openalex.org/W2100151641"],"abstract_inverted_index":{"We":[0],"propose":[1],"Direct":[2,17,87],"Blind":[3,88,105],"Equalization":[4,18,89],"using":[5],"estimated":[6],"noise":[7,65,84,102],"variance":[8,66,85,103],"in":[9,42,104],"Orthogonal":[10],"Frequency":[11],"Division":[12],"Multiplexing(OFDM)":[13],"environment.":[14,92,108],"There":[15],"is":[16,31,37,59,70,114],"for":[19,86],"blind":[20],"signals":[21,47,69],"processing":[22],"environment":[23],"as":[24],"one":[25],"of":[26,45,67,83,95,111],"conventional":[27,35,52],"methods":[28],"[1].":[29],"It":[30],"known":[32],"that":[33,57],"the":[34,43,51,55,64,74,81],"method":[36,53,97,113],"high":[38],"equalization":[39,61,77],"precision":[40,62],"even":[41],"case":[44],"observed":[46,68],"with":[48,90],"noisy.":[49],"However,":[50],"has":[54],"problem":[56,75],"there":[58],"low":[60,76],"when":[63],"unknown.":[71],"To":[72],"solve":[73],"precision,":[78],"we":[79],"describe":[80],"estimation":[82],"OFDM":[91],"The":[93,109],"advantages":[94],"proposed":[96,112],"are":[98],"able":[99],"to":[100],"estimate":[101],"Signal":[106],"Processing":[107],"performance":[110],"shown":[115],"via":[116],"computer":[117],"simulations.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
