{"id":"https://openalex.org/W4403181940","doi":"https://doi.org/10.1109/lsp.2024.3475349","title":"Optimizing Subband Adaptive Filters for Resilience Against Unanticipated Signal Truncation","display_name":"Optimizing Subband Adaptive Filters for Resilience Against Unanticipated Signal Truncation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403181940","doi":"https://doi.org/10.1109/lsp.2024.3475349"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3475349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3475349","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/A5047405220","display_name":"Yuhong Wang","orcid":"https://orcid.org/0000-0003-1156-1295"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhong Wang","raw_affiliation_strings":["College of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-1156-1295","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073971830","display_name":"Xu Zhou","orcid":"https://orcid.org/0009-0002-7481-4253"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhou","raw_affiliation_strings":["College of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0002-7481-4253","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041488867","display_name":"Zongsheng Zheng","orcid":"https://orcid.org/0000-0002-4198-5788"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongsheng Zheng","raw_affiliation_strings":["College of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4198-5788","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":1.8019,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83326791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"2765","last_page":"2769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9936000108718872,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9936000108718872,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9341999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/truncation","display_name":"Truncation (statistics)","score":0.650523841381073},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.5983254909515381},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5563230514526367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5404667854309082},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5222650170326233},{"id":"https://openalex.org/keywords/filtering-theory","display_name":"Filtering theory","score":0.4751184582710266},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4720780849456787},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.39728695154190063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34725040197372437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34097105264663696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.236404150724411},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1848505437374115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1330084502696991},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08079510927200317}],"concepts":[{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.650523841381073},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.5983254909515381},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5563230514526367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5404667854309082},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5222650170326233},{"id":"https://openalex.org/C2988922011","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering theory","level":2,"score":0.4751184582710266},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4720780849456787},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.39728695154190063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34725040197372437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34097105264663696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.236404150724411},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1848505437374115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1330084502696991},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08079510927200317},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3475349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3475349","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G6522123889","display_name":null,"funder_award_id":"62101362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1951555515","https://openalex.org/W1966264494","https://openalex.org/W2004625633","https://openalex.org/W2108646336","https://openalex.org/W2114148242","https://openalex.org/W2115391084","https://openalex.org/W2121820607","https://openalex.org/W2128131274","https://openalex.org/W2153290280","https://openalex.org/W2153411116","https://openalex.org/W2155220711","https://openalex.org/W2295872477","https://openalex.org/W2987166427","https://openalex.org/W3160870191","https://openalex.org/W3210720055","https://openalex.org/W4385894405","https://openalex.org/W4396528889","https://openalex.org/W6801079058"],"related_works":["https://openalex.org/W1974935850","https://openalex.org/W2074350688","https://openalex.org/W2042589464","https://openalex.org/W2167307094","https://openalex.org/W1501804233","https://openalex.org/W1976504964","https://openalex.org/W1525989536","https://openalex.org/W2039473711","https://openalex.org/W2142537705","https://openalex.org/W1848664427"],"abstract_inverted_index":{"This":[0,82],"letter":[1],"addresses":[2],"a":[3],"common":[4],"issue":[5],"in":[6,113,145],"engineering":[7,146],"applications:":[8],"unanticipated":[9,90],"signal":[10,80,142],"truncation":[11,91,132,143],"events":[12],"caused":[13],"by":[14,130],"the":[15,18,25,33,67,72,122],"mismatch":[16],"between":[17],"operational":[19],"range":[20],"of":[21,115,125],"measurement":[22],"devices":[23],"and":[24,43,97,118],"signals":[26],"to":[27,47,65,77,86,100],"be":[28,101],"measured.":[29],"Under":[30],"such":[31],"circumstances,":[32],"conventional":[34],"normalized":[35],"subband":[36,73],"adaptive":[37,74],"filtering":[38],"(NSAF)":[39],"algorithm":[40],"significantly":[41,109],"underperforms":[42],"may":[44],"even":[45],"fail":[46],"converge.":[48],"To":[49],"tackle":[50],"this":[51],"issue,":[52],"we":[53],"propose":[54],"an":[55,61,87],"improved":[56],"NSAF":[57,88],"algorithm.":[58],"We":[59],"introduce":[60],"expectation":[62],"maximization":[63],"framework":[64],"address":[66],"maximum":[68],"likelihood":[69],"estimation":[70,116],"before":[71],"filter,":[75],"specifically":[76],"handle":[78],"double-sided":[79],"truncation.":[81],"new":[83],"approach":[84],"leads":[85],"for":[89,137],"(UT-NSAF),":[92],"which":[93],"has":[94],"been":[95],"theoretically":[96],"numerically":[98],"proven":[99],"unbiased.":[102],"Importantly,":[103],"our":[104],"research":[105],"demonstrates":[106],"that":[107],"UT-NSAF":[108,126],"outperforms":[110],"other":[111],"algorithms":[112],"terms":[114],"accuracy":[117],"convergence":[119],"speed.":[120],"Notably,":[121],"steady-state":[123],"solution":[124],"remains":[127],"almost":[128],"unaffected":[129],"varying":[131],"thresholds,":[133],"showing":[134],"robustness":[135],"crucial":[136],"dealing":[138],"with":[139],"various":[140],"unexpected":[141],"scenarios":[144],"applications.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}