{"id":"https://openalex.org/W2919235536","doi":"https://doi.org/10.1109/tencon.2018.8650288","title":"Adaptive-Normalized-Error Based Blind Equalization Algorithm for Static Wireless Sensor Network","display_name":"Adaptive-Normalized-Error Based Blind Equalization Algorithm for Static Wireless Sensor Network","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2919235536","doi":"https://doi.org/10.1109/tencon.2018.8650288","mag":"2919235536"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5007091122","display_name":"Nargis Parvin","orcid":"https://orcid.org/0009-0002-7469-2057"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nargis Parvin","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University, Sakura-ku, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University, Sakura-ku, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110654558","display_name":"Yosuke Sugiura","orcid":null},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yosuke Sugiura","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University, Sakura-ku, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University, Sakura-ku, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036337826","display_name":"Tetsuya Shimamura","orcid":"https://orcid.org/0000-0002-7874-3467"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Shimamura","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University, Sakura-ku, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University, Sakura-ku, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4988,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66773121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"0503","last_page":"0507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9986000061035156,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.8360855579376221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697478711605072},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5355392098426819},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5171720385551453},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.5159528851509094},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5094056725502014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5038368105888367},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.49944257736206055},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.4584403336048126},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.4472735524177551},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.42168763279914856},{"id":"https://openalex.org/keywords/adaptive-equalizer","display_name":"Adaptive equalizer","score":0.41566118597984314},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3776280879974365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19353723526000977},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13651007413864136},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13186267018318176},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09639167785644531},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.061273425817489624}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.8360855579376221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697478711605072},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5355392098426819},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5171720385551453},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.5159528851509094},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5094056725502014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5038368105888367},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49944257736206055},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.4584403336048126},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.4472735524177551},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.42168763279914856},{"id":"https://openalex.org/C25125847","wikidata":"https://www.wikidata.org/wiki/Q4680741","display_name":"Adaptive equalizer","level":4,"score":0.41566118597984314},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3776280879974365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19353723526000977},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13651007413864136},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13186267018318176},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09639167785644531},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.061273425817489624},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1966264494","https://openalex.org/W2005826147","https://openalex.org/W2024964075","https://openalex.org/W2064144462","https://openalex.org/W2118776392","https://openalex.org/W2121820607","https://openalex.org/W2169755932","https://openalex.org/W2747138908"],"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/W2077238713","https://openalex.org/W2387081227","https://openalex.org/W2037713886","https://openalex.org/W1985632374","https://openalex.org/W2352105133"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1,16,35,50,70,92],"network":[2,6,51],"is":[3,26,73],"a":[4,9,42,63],"self-organized":[5],"composed":[7],"by":[8,79],"large":[10],"number":[11],"of":[12,122],"autonomous":[13],"and":[14,18,52,95,131],"low-cost":[15],"nodes,":[17],"monitors":[19],"regions":[20],"through":[21,126],"wireless":[22,34,49],"communication.":[23],"Blind":[24],"equalization":[25],"used":[27],"to":[28,55,138],"estimate":[29,56,85],"the":[30,57,68,76,86,90,101,106,110,115,120,123,139],"transmitted":[31,58,87],"signal":[32,59,72,88],"over":[33],"networks.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,84],"consider":[41],"single-input":[43],"multiple-output":[44],"(SIMO)":[45],"channels":[46],"based":[47],"static":[48],"set":[53],"out":[54],"blindly.":[60],"We":[61],"derive":[62],"new":[64],"approach":[65],"in":[66,109],"that":[67],"best":[69],"output":[71],"identified":[74],"as":[75,114],"easiest":[77],"path":[78],"normalized":[80,111],"error":[81,108,112,129,133],"calculation.":[82],"Then":[83],"from":[89],"corresponding":[91],"output.":[93],"Direct":[94],"indirect":[96],"calculations":[97],"are":[98],"considered":[99],"for":[100],"proposed":[102,124],"method,":[103],"which":[104],"utilize":[105],"prediction":[107],"calculation":[113],"prefilter.":[116],"Computer":[117],"simulations":[118],"validate":[119],"effectiveness":[121],"method":[125],"mean":[127],"square":[128],"(MSE)":[130],"symbol":[132],"rate":[134],"(SER)":[135],"performance":[136],"relative":[137],"conventional":[140],"method.":[141]},"counts_by_year":[{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
