{"id":"https://openalex.org/W2920745418","doi":"https://doi.org/10.1186/s13634-019-0605-9","title":"Two variants of the IIR spline adaptive filter for combating impulsive noise","display_name":"Two variants of the IIR spline adaptive filter for combating impulsive noise","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2920745418","doi":"https://doi.org/10.1186/s13634-019-0605-9","mag":"2920745418"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-019-0605-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0605-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0605-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0605-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100353201","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0002-0781-4379"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang Liu","raw_affiliation_strings":["School of Electronic Engineering, Dongguan University of Techonology, DaXue Road, Dongguan, 523808, China"],"raw_orcid":"https://orcid.org/0000-0002-0781-4379","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dongguan University of Techonology, DaXue Road, Dongguan, 523808, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030830976","display_name":"Chao Peng","orcid":"https://orcid.org/0000-0002-0200-0798"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Peng","raw_affiliation_strings":["School of Electronic Engineering, Dongguan University of Techonology, DaXue Road, Dongguan, 523808, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dongguan University of Techonology, DaXue Road, Dongguan, 523808, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088234497","display_name":"Xiao Tang","orcid":"https://orcid.org/0000-0003-4088-8422"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Tang","raw_affiliation_strings":["School of Electronic Engineering, Dongguan University of Techonology, DaXue Road, Dongguan, 523808, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dongguan University of Techonology, DaXue Road, Dongguan, 523808, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101993172","display_name":"Xueliang Liu","orcid":"https://orcid.org/0000-0002-9679-7688"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueliang Liu","raw_affiliation_strings":["School of Electronic Engineering, Dongguan University of Techonology, DaXue Road, Dongguan, 523808, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dongguan University of Techonology, DaXue Road, Dongguan, 523808, China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100353201"],"corresponding_institution_ids":["https://openalex.org/I2799850029"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":2.1361,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86314191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9965999722480774,"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/infinite-impulse-response","display_name":"Infinite impulse response","score":0.8654571175575256},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5838891267776489},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5716253519058228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5599431991577148},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5572860836982727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5365578532218933},{"id":"https://openalex.org/keywords/2d-filters","display_name":"2D Filters","score":0.5257914066314697},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.47878965735435486},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.4694216847419739},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.43950629234313965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4066242575645447},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3834742307662964},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38088756799697876},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.20665737986564636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11504602432250977},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07913646101951599}],"concepts":[{"id":"https://openalex.org/C183816354","wikidata":"https://www.wikidata.org/wiki/Q665617","display_name":"Infinite impulse response","level":4,"score":0.8654571175575256},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5838891267776489},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5716253519058228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5599431991577148},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5572860836982727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5365578532218933},{"id":"https://openalex.org/C100106864","wikidata":"https://www.wikidata.org/wiki/Q16001029","display_name":"2D Filters","level":5,"score":0.5257914066314697},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.47878965735435486},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.4694216847419739},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.43950629234313965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4066242575645447},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3834742307662964},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38088756799697876},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.20665737986564636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11504602432250977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07913646101951599},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-019-0605-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0605-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0605-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5d7c042eacfc49ac992d8fbe4676ba61","is_oa":true,"landing_page_url":"https://doaj.org/article/5d7c042eacfc49ac992d8fbe4676ba61","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-15 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-019-0605-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0605-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0605-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5687792324","display_name":null,"funder_award_id":"61501119","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"},{"id":"https://openalex.org/F4320329334","display_name":"Dongguan Science and Technology Bureau","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2920745418.pdf","grobid_xml":"https://content.openalex.org/works/W2920745418.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W1492221128","https://openalex.org/W1539916279","https://openalex.org/W1569512666","https://openalex.org/W1604993054","https://openalex.org/W1634703308","https://openalex.org/W1659981291","https://openalex.org/W1874374653","https://openalex.org/W1966048296","https://openalex.org/W1970941481","https://openalex.org/W2050075865","https://openalex.org/W2070040308","https://openalex.org/W2095711409","https://openalex.org/W2102213230","https://openalex.org/W2109589692","https://openalex.org/W2120645948","https://openalex.org/W2123351796","https://openalex.org/W2149593872","https://openalex.org/W2150709895","https://openalex.org/W2152987686","https://openalex.org/W2161385112","https://openalex.org/W2161664203","https://openalex.org/W2295806640","https://openalex.org/W2325980633","https://openalex.org/W2593113597","https://openalex.org/W2610805269","https://openalex.org/W4239240501"],"related_works":["https://openalex.org/W2121421562","https://openalex.org/W4250971755","https://openalex.org/W4242415127","https://openalex.org/W2137585259","https://openalex.org/W1922588850","https://openalex.org/W2033924285","https://openalex.org/W2726969495","https://openalex.org/W1865456240","https://openalex.org/W2398392564","https://openalex.org/W2151495632"],"abstract_inverted_index":{"It":[0],"has":[1],"been":[2],"pointed":[3],"out":[4],"that":[5,146],"the":[6,51,54,68,71,77,91,94,103,114,123,130,138,141,147,151,154],"nonlinear":[7,16,143],"spline":[8,41],"adaptive":[9,32,42],"filter":[10,43,115],"(SAF)":[11],"is":[12,74],"appealing":[13],"for":[14],"modeling":[15],"systems":[17],"with":[18],"good":[19],"performance":[20],"and":[21,97,101,107,117,126,160],"low":[22],"computational":[23,124],"burden.":[24],"This":[25],"paper":[26],"proposes":[27],"a":[28,47,81],"normalized":[29],"least":[30],"M-estimate":[31],"filtering":[33],"algorithm":[34,56,85],"based":[35],"on":[36,113],"infinite":[37],"impulse":[38],"respomse":[39],"(IIR)":[40],"(IIR-SAF-NLMM).":[44],"By":[45],"using":[46],"robust":[48],"M-estimator":[49],"as":[50],"cost":[52],"function,":[53],"IIR-SAF-NLMM":[55,84],"obtains":[57],"robustness":[58,161],"against":[59],"non-Gaussian":[60,157,163],"impulsive":[61,111,158,164],"noise.":[62],"In":[63,121],"order":[64],"to":[65,80],"further":[66],"improve":[67],"convergence":[69,105,127],"rate,":[70],"set-membership":[72,83,95],"framework":[73,96],"incorporated":[75],"into":[76],"IIR-SAF-NLMM,":[78],"leading":[79],"new":[82],"(IIR-SAF-SMNLMM).":[86],"The":[87],"proposed":[88,131,148],"IIR-SAF-SMNLMM":[89],"inherits":[90],"benefits":[92],"of":[93,110,129,140,156],"least-M":[98],"estimate":[99],"scheme":[100],"acquires":[102],"faster":[104],"rate":[106],"effective":[108],"suppression":[109],"noise":[112,159,165],"weight":[116],"control":[118],"point":[119],"adaptation.":[120],"addition,":[122],"burdens":[125],"properties":[128],"algorithms":[132,149],"are":[133],"analyzed.":[134],"Simulation":[135],"results":[136],"in":[137,153,162],"identification":[139],"IIR-SAF":[142],"model":[144],"show":[145],"offer":[150],"effectiveness":[152],"absence":[155],"environments.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
