{"id":"https://openalex.org/W2115172043","doi":"https://doi.org/10.1109/iscas.2005.1466006","title":"SMF Robust Filtering In Impulsive Noise","display_name":"SMF Robust Filtering In Impulsive Noise","publication_year":2005,"publication_date":"2005-07-27","ids":{"openalex":"https://openalex.org/W2115172043","doi":"https://doi.org/10.1109/iscas.2005.1466006","mag":"2115172043"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2005.1466006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2005.1466006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Symposium on Circuits and Systems","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/A5100675165","display_name":"Li Guo","orcid":"https://orcid.org/0000-0002-9723-3294"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Li Guo","raw_affiliation_strings":["Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","Dept. of Electr. Eng., Notre Dame Univ., IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Notre Dame Univ., IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020019430","display_name":"Yih-Fang Huang","orcid":"https://orcid.org/0000-0003-4603-7776"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yih-Fang Huang","raw_affiliation_strings":["Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","Dept. of Electr. Eng., Notre Dame Univ., IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Notre Dame Univ., IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100675165"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19783449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5998","last_page":"6001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9919999837875366,"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":0.9919999837875366,"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":0.9908000230789185,"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":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6425248980522156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6413811445236206},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6270876526832581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6264485120773315},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.5221928954124451},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.48865440487861633},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4388331174850464},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4324837327003479},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4309687614440918},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4179916977882385},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4152616858482361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24812263250350952},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1936648190021515},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.133049875497818}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6425248980522156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6413811445236206},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6270876526832581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264485120773315},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.5221928954124451},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.48865440487861633},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4388331174850464},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4324837327003479},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4309687614440918},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4179916977882385},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4152616858482361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24812263250350952},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1936648190021515},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.133049875497818},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2005.1466006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2005.1466006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Symposium on Circuits and Systems","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":12,"referenced_works":["https://openalex.org/W1796536043","https://openalex.org/W2003563417","https://openalex.org/W2067245759","https://openalex.org/W2109589692","https://openalex.org/W2119580056","https://openalex.org/W2127805491","https://openalex.org/W2147272701","https://openalex.org/W2152987686","https://openalex.org/W2165155912","https://openalex.org/W2165673729","https://openalex.org/W2489822048","https://openalex.org/W4247357394"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W2164852895","https://openalex.org/W2027630946","https://openalex.org/W2529395309","https://openalex.org/W3119704784","https://openalex.org/W4282823030","https://openalex.org/W2546376057","https://openalex.org/W2013006297","https://openalex.org/W2144530466","https://openalex.org/W2612844333"],"abstract_inverted_index":{"An":[0],"adaptive":[1],"M-estimation":[2,35,78],"algorithm":[3,19,47,70],"based":[4],"on":[5],"set-membership":[6],"filtering":[7,13],"(SMF)":[8],"is":[9,30,82],"presented":[10],"for":[11],"robust":[12],"in":[14,60],"impulsive":[15,61],"noise.":[16,62],"The":[17],"proposed":[18,46,69],"has":[20,71],"unique":[21],"features":[22],"of":[23],"data-dependent":[24],"weights":[25],"and":[26,36,56,80],"selective":[27],"update.":[28],"It":[29],"derived":[31],"from":[32],"the":[33,45,68,76],"general":[34],"a":[37],"SMF-type":[38],"cost":[39],"function.":[40],"Simulation":[41,63],"results":[42,64],"show":[43],"that":[44,67],"performs":[48],"much":[49],"better":[50],"than":[51],"conventional":[52,57],"recursive":[53],"least-squares":[54],"algorithms":[55,59],"SMF":[58],"also":[65],"demonstrate":[66],"tracking":[72],"capability":[73],"superior":[74],"to":[75,85],"least":[77],"approach,":[79],"it":[81],"more":[83],"resistant":[84],"outliers.":[86]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}