{"id":"https://openalex.org/W2921424485","doi":"https://doi.org/10.1109/istel.2018.8661158","title":"Improved Non-negative Least Mean Square Algorithm using Gaussian CDF as Reweighting Function","display_name":"Improved Non-negative Least Mean Square Algorithm using Gaussian CDF as Reweighting Function","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2921424485","doi":"https://doi.org/10.1109/istel.2018.8661158","mag":"2921424485"},"language":"en","primary_location":{"id":"doi:10.1109/istel.2018.8661158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2018.8661158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Symposium on Telecommunications (IST)","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/A5050411667","display_name":"Navid Ghamari","orcid":null},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Navid Ghamari","raw_affiliation_strings":["Faculty of Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034034206","display_name":"Seyed Moslem Shokrolahi","orcid":null},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyed Moslem Shokrolahi","raw_affiliation_strings":["Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050411667"],"corresponding_institution_ids":["https://openalex.org/I80543232"],"apc_list":null,"apc_paid":null,"fwci":0.2027,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54054922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"258","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6305825114250183},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6231153011322021},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.501183032989502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5000450611114502},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4992492198944092},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.4905778765678406},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4881080090999603},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.4853760004043579},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.47562435269355774},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4658660888671875},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4221961200237274},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4164341390132904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3841497302055359},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20107623934745789},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.0859774649143219}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6305825114250183},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6231153011322021},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.501183032989502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5000450611114502},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4992492198944092},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.4905778765678406},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4881080090999603},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.4853760004043579},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.47562435269355774},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4658660888671875},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4221961200237274},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4164341390132904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3841497302055359},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20107623934745789},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.0859774649143219},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/istel.2018.8661158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2018.8661158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Symposium on Telecommunications (IST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1984989970","https://openalex.org/W2003234927","https://openalex.org/W2031199761","https://openalex.org/W2098132613","https://openalex.org/W2106563762","https://openalex.org/W2108659188","https://openalex.org/W2109449402","https://openalex.org/W2111395440","https://openalex.org/W2112232251","https://openalex.org/W2115806236","https://openalex.org/W2124086958","https://openalex.org/W2132538571","https://openalex.org/W2169669137","https://openalex.org/W2215928081","https://openalex.org/W2319687216","https://openalex.org/W2326441153","https://openalex.org/W2497264409","https://openalex.org/W2591261303","https://openalex.org/W2913465992","https://openalex.org/W3098226599","https://openalex.org/W4230751662","https://openalex.org/W4231367092","https://openalex.org/W6688270721","https://openalex.org/W6723647193"],"related_works":["https://openalex.org/W2287235845","https://openalex.org/W2586228848","https://openalex.org/W2081837274","https://openalex.org/W2253481662","https://openalex.org/W1998353256","https://openalex.org/W2357454918","https://openalex.org/W2189195857","https://openalex.org/W3040496336","https://openalex.org/W2370278301","https://openalex.org/W129688823"],"abstract_inverted_index":{"Adaptive":[0],"filters":[1,17],"have":[2],"played":[3],"a":[4,40,101,116],"major":[5],"role":[6],"in":[7,39,125,134],"signal":[8],"processing":[9],"these":[10],"years.":[11],"In":[12,96],"systems":[13,56],"identification":[14,128],"problem,":[15],"adaptive":[16],"such":[18],"as":[19,26,115],"least":[20,77,106],"mean":[21,78,107],"square":[22,79,108],"(LMS)":[23],"are":[24],"considered":[25],"beneficial":[27],"approach":[28,154],"because":[29],"of":[30,90,104,112,158,164],"their":[31],"effortlessness":[32],"and":[33,81],"sturdiness.":[34],"Due":[35],"to":[36,58,68,87,136,160],"physical":[37,59],"restrictions":[38],"realistic":[41],"unknown":[42,55],"target":[43],"system,":[44],"non-negativity":[45],"constraint":[46],"is":[47,52,66,123],"usually":[48],"trivial.":[49],"Non-negative":[50,76],"restraint":[51],"appropriate":[53],"for":[54],"due":[57],"limitations:":[60],"For":[61],"more":[62],"feasible":[63],"solutions,":[64],"it":[65],"better":[67,148],"impose":[69],"non-negative":[70,94,105],"limits":[71],"into":[72],"optimization":[73],"problem.":[74],"So,":[75],"(NNLMS)":[80],"its":[82],"variations":[83,157],"were":[84],"put":[85],"forward":[86],"solve":[88],"problems":[89],"Wiener":[91],"filtering":[92],"with":[93,109,147,155],"weights.":[95],"this":[97],"paper":[98],"we":[99],"propose":[100],"new":[102],"version":[103],"considering":[110],"CDF":[111],"Gaussian":[113],"distribution":[114],"useful":[117],"reweighting":[118],"function.":[119],"The":[120],"presented":[121],"algorithm":[122],"analyzed":[124],"sparse":[126],"system":[127],"problem":[129],"by":[130],"Mont":[131],"Carlo":[132],"simulation":[133,140],"order":[135],"show":[137],"that":[138],"the":[139,143,162],"results":[141],"follows":[142],"theory":[144],"models":[145],"properly":[146],"performance.":[149],"Furthermore,":[150],"e":[151],"compare":[152],"our":[153,165],"other":[156],"NNLMS":[159],"confirm":[161],"advantage":[163],"proposed":[166],"GR-NNLMS":[167],"algorithm.":[168]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}