{"id":"https://openalex.org/W7130686784","doi":"https://doi.org/10.1109/lsp.2026.3666753","title":"Robust Adaptive Filtering via Maximum Likelihood Method Based on Student's-t Mixture Model","display_name":"Robust Adaptive Filtering via Maximum Likelihood Method Based on Student's-t Mixture Model","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7130686784","doi":"https://doi.org/10.1109/lsp.2026.3666753"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2026.3666753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3666753","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/A5088665564","display_name":"Lingjie Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingjie Sheng","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123206252","display_name":"Ying-Ren Chien","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ying-Ren Chien","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126501778","display_name":"Junhui Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhui Qian","raw_affiliation_strings":["College of Microelectronic and Communication Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Microelectronic and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123170669","display_name":"Guobing Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobing Qian","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126521479","display_name":"Shiyuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyuan Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088665564"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55345781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1096","last_page":"1100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.5896000266075134,"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":0.5896000266075134,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.2287999987602234,"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"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.026900000870227814,"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/outlier","display_name":"Outlier","score":0.7106000185012817},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6593000292778015},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6406000256538391},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6001999974250793},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5552999973297119},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4627000093460083},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.43380001187324524},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4235000014305115},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4115000069141388}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7106000185012817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668000221252441},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6593000292778015},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6406000256538391},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6001999974250793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5659999847412109},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4627000093460083},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.43380001187324524},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37549999356269836},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.33709999918937683},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.3125},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.31029999256134033},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.3070000112056732},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.27649998664855957},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2026.3666753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3666753","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/W1707525447","https://openalex.org/W2045946116","https://openalex.org/W2134577297","https://openalex.org/W2137971377","https://openalex.org/W2619929197","https://openalex.org/W2895711555","https://openalex.org/W2897870311","https://openalex.org/W2904462735","https://openalex.org/W3024853581","https://openalex.org/W3091821987","https://openalex.org/W3165011554","https://openalex.org/W3173336494","https://openalex.org/W3217210327","https://openalex.org/W4281725758","https://openalex.org/W4318562171","https://openalex.org/W4387340848","https://openalex.org/W4389721968","https://openalex.org/W4394707146","https://openalex.org/W4395069460","https://openalex.org/W4399404562","https://openalex.org/W4402123878","https://openalex.org/W4404408456","https://openalex.org/W4408144829","https://openalex.org/W4410086767","https://openalex.org/W4410153915","https://openalex.org/W4413985415"],"related_works":[],"abstract_inverted_index":{"Real-world":[0],"noise":[1,26,54,103,113],"often":[2],"exhibits":[3],"complex":[4],"non-Gaussian":[5],"characteristics,":[6],"frequently":[7],"manifesting":[8],"as":[9],"heavy-tailed":[10,83],"distributions":[11],"contaminated":[12],"by":[13,71],"outliers.":[14],"The":[15,45],"effectiveness":[16],"of":[17,76,85,102],"filtering":[18,36],"algorithms":[19],"can":[20],"vary":[21],"significantly":[22],"across":[23],"these":[24],"diverse":[25],"types.":[27],"To":[28],"this":[29,31],"end,":[30],"letter":[32],"presents":[33],"an":[34],"adaptive":[35],"algorithm":[37,88],"based":[38],"on":[39],"the":[40,53,57,62,69,73,77,81,87],"Student's-t":[41],"mixture":[42,58],"model":[43,52],"(SMM).":[44],"proposed":[46],"approach":[47],"systematically":[48],"employs":[49],"SMM":[50],"to":[51],"distribution,":[55],"optimizes":[56],"model's":[59],"hyper-parameters":[60],"via":[61],"Expectation-Maximization":[63],"(EM)":[64],"algorithm,":[65],"and":[66,95],"ultimately":[67],"derives":[68],"filter":[70],"maximizing":[72],"log-likelihood":[74],"function":[75],"parameterized":[78],"SMM.":[79],"Leveraging":[80],"inherent":[82],"properties":[84],"SMM,":[86],"demonstrates":[89],"strong":[90],"robustness":[91],"against":[92],"extreme":[93],"outliers":[94],"is":[96],"suitable":[97],"for":[98],"a":[99],"wide":[100],"range":[101],"environments.":[104],"Simulation":[105],"results":[106],"confirm":[107],"its":[108],"superior":[109],"performance":[110],"under":[111],"various":[112],"disturbances.":[114]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-02-21T00:00:00"}