{"id":"https://openalex.org/W2167248919","doi":"https://doi.org/10.1109/tnn.2011.2136358","title":"Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm","display_name":"Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm","publication_year":2011,"publication_date":"2011-05-27","ids":{"openalex":"https://openalex.org/W2167248919","doi":"https://doi.org/10.1109/tnn.2011.2136358","mag":"2167248919","pmid":"https://pubmed.ncbi.nlm.nih.gov/21622073"},"language":"en","primary_location":{"id":"doi:10.1109/tnn.2011.2136358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2011.2136358","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"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 Transactions on Neural Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3261932","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035484485","display_name":"Gonzalo Carvajal","orcid":"https://orcid.org/0000-0003-1116-6180"},"institutions":[{"id":"https://openalex.org/I172787465","display_name":"University of Concepci\u00f3n","ror":"https://ror.org/0460jpj73","country_code":"CL","type":"education","lineage":["https://openalex.org/I172787465"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"G. Carvajal","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Concepci\u00f3n, Concepci\u00f3n, Chile. gcarvaja@udec.cl","Department of Electrical Engineering, Universidad de Concepci\u00f2n, Concepcion, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Concepci\u00f3n, Concepci\u00f3n, Chile. gcarvaja@udec.cl","institution_ids":["https://openalex.org/I172787465"]},{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Concepci\u00f2n, Concepcion, Chile","institution_ids":["https://openalex.org/I172787465"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044765327","display_name":"Miguel Figueroa","orcid":"https://orcid.org/0000-0002-5033-432X"},"institutions":[{"id":"https://openalex.org/I172787465","display_name":"University of Concepci\u00f3n","ror":"https://ror.org/0460jpj73","country_code":"CL","type":"education","lineage":["https://openalex.org/I172787465"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"M. Figueroa","raw_affiliation_strings":["Center of Optics and Photonics, Universidad de Concepci\u00f2n, Concepcion, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Optics and Photonics, Universidad de Concepci\u00f2n, Concepcion, Chile","institution_ids":["https://openalex.org/I172787465"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062137604","display_name":"Daniel Sb\u00e1rbaro","orcid":"https://orcid.org/0000-0002-0386-1055"},"institutions":[{"id":"https://openalex.org/I172787465","display_name":"University of Concepci\u00f3n","ror":"https://ror.org/0460jpj73","country_code":"CL","type":"education","lineage":["https://openalex.org/I172787465"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"D. Sbarbaro","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Concepci\u00f2n, Concepcion, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Concepci\u00f2n, Concepcion, Chile","institution_ids":["https://openalex.org/I172787465"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059672648","display_name":"Waldo Valenzuela","orcid":"https://orcid.org/0000-0002-6629-3366"},"institutions":[{"id":"https://openalex.org/I172787465","display_name":"University of Concepci\u00f3n","ror":"https://ror.org/0460jpj73","country_code":"CL","type":"education","lineage":["https://openalex.org/I172787465"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"W. Valenzuela","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Concepci\u00f2n, Concepcion, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Concepci\u00f2n, Concepcion, Chile","institution_ids":["https://openalex.org/I172787465"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172787465"],"apc_list":null,"apc_paid":null,"fwci":0.6327,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71747228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":"7","first_page":"1046","last_page":"1060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10320","display_name":"Neural Networks and Applications","score":0.9994999766349792,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7047938704490662},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6014851927757263},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5817440152168274},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5598670244216919},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.543612003326416},{"id":"https://openalex.org/keywords/analogue-electronics","display_name":"Analogue electronics","score":0.5250351428985596},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.495566725730896},{"id":"https://openalex.org/keywords/analog-computer","display_name":"Analog computer","score":0.43539953231811523},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.42429620027542114},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.42282813787460327},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.41908854246139526},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.38897132873535156},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34452465176582336},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.3154459595680237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23092690110206604},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12194925546646118},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09427815675735474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047938704490662},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6014851927757263},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5817440152168274},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5598670244216919},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.543612003326416},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.5250351428985596},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.495566725730896},{"id":"https://openalex.org/C90915687","wikidata":"https://www.wikidata.org/wiki/Q63759","display_name":"Analog computer","level":2,"score":0.43539953231811523},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.42429620027542114},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.42282813787460327},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.41908854246139526},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.38897132873535156},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34452465176582336},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.3154459595680237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23092690110206604},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12194925546646118},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09427815675735474},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003202","descriptor_name":"Computers, Analog","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003202","descriptor_name":"Computers, Analog","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003202","descriptor_name":"Computers, Analog","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tnn.2011.2136358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2011.2136358","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"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 Transactions on Neural Networks","raw_type":"journal-article"},{"id":"pmid:21622073","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21622073","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks","raw_type":null},{"id":"pmh:oai:americanae.aecid.es:3261932","is_oa":true,"landing_page_url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3261932","pdf_url":null,"source":{"id":"https://openalex.org/S4306400786","display_name":"Americanae (AECID Library)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE TRANSACTIONS ON NEURAL NETWORKS","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:localhost:10533/136297","is_oa":true,"landing_page_url":"http://hdl.handle.net/10533/136297","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE TRANSACTIONS ON NEURAL NETWORKS","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:americanae.aecid.es:3261932","is_oa":true,"landing_page_url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3261932","pdf_url":null,"source":{"id":"https://openalex.org/S4306400786","display_name":"Americanae (AECID Library)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE TRANSACTIONS ON NEURAL NETWORKS","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1524805076","https://openalex.org/W1537675808","https://openalex.org/W1554663460","https://openalex.org/W1578671836","https://openalex.org/W1608071860","https://openalex.org/W1740440304","https://openalex.org/W1779707633","https://openalex.org/W1859071586","https://openalex.org/W1997261908","https://openalex.org/W2027444493","https://openalex.org/W2034529783","https://openalex.org/W2045197688","https://openalex.org/W2049986605","https://openalex.org/W2051385641","https://openalex.org/W2056734380","https://openalex.org/W2067122676","https://openalex.org/W2087984979","https://openalex.org/W2100414052","https://openalex.org/W2101414083","https://openalex.org/W2114118267","https://openalex.org/W2118625767","https://openalex.org/W2121472132","https://openalex.org/W2124583192","https://openalex.org/W2133247229","https://openalex.org/W2138554263","https://openalex.org/W2139289838","https://openalex.org/W2140823559","https://openalex.org/W2142360946","https://openalex.org/W2145990236","https://openalex.org/W2155867089","https://openalex.org/W2158989334","https://openalex.org/W2160240150","https://openalex.org/W2169095047","https://openalex.org/W2171843308","https://openalex.org/W2172228988","https://openalex.org/W2316478175","https://openalex.org/W2492117013","https://openalex.org/W2570294345","https://openalex.org/W2741103512","https://openalex.org/W2990138404","https://openalex.org/W3025774832","https://openalex.org/W3046038002","https://openalex.org/W4236087597","https://openalex.org/W4285719527","https://openalex.org/W6636564395","https://openalex.org/W6675474567","https://openalex.org/W6677093568","https://openalex.org/W6683729007","https://openalex.org/W6741870978","https://openalex.org/W7047543127"],"related_works":["https://openalex.org/W3100919150","https://openalex.org/W3111330318","https://openalex.org/W2157642754","https://openalex.org/W2384009164","https://openalex.org/W2188991353","https://openalex.org/W2092473657","https://openalex.org/W2103641320","https://openalex.org/W3012455919","https://openalex.org/W2181833778","https://openalex.org/W3187708705"],"abstract_inverted_index":{"Analog":[0],"very":[1],"large":[2],"scale":[3],"integration":[4],"implementations":[5],"of":[6,14,27,41,48,65,76,102,124,130],"neural":[7,104],"networks":[8,105],"can":[9],"compute":[10],"using":[11],"a":[12,57,107,125,131],"fraction":[13],"the":[15,39,46,66,73,81,100,122],"size":[16],"and":[17,36,92,113],"power":[18,114],"required":[19],"by":[20,120],"their":[21],"digital":[22],"counterparts.":[23],"However,":[24],"intrinsic":[25],"limitations":[26,68],"analog":[28,42,103],"hardware,":[29],"such":[30],"as":[31],"device":[32],"mismatch,":[33],"charge":[34],"leakage,":[35],"noise,":[37],"reduce":[38],"accuracy":[40,101],"arithmetic":[43],"circuits,":[44],"degrading":[45],"performance":[47,123],"large-scale":[49],"adaptive":[50],"systems.":[51],"In":[52],"this":[53,86],"paper,":[54],"we":[55,88],"present":[56],"detailed":[58],"mathematical":[59],"analysis":[60,119],"that":[61],"relates":[62],"different":[63],"parameters":[64],"hardware":[67],"to":[69,98],"specific":[70],"effects":[71],"on":[72],"convergence":[74],"properties":[75],"linear":[77],"perceptrons":[78],"trained":[79,134],"with":[80,106,135],"least-mean-square":[82],"(LMS)":[83],"algorithm.":[84],"Using":[85],"analysis,":[87],"derive":[89],"design":[90],"guidelines":[91],"introduce":[93],"simple":[94],"on-chip":[95],"calibration":[96],"techniques":[97],"improve":[99],"small":[108],"cost":[109],"in":[110],"die":[111],"area":[112],"dissipation.":[115],"We":[116],"validate":[117],"our":[118],"evaluating":[121],"mixed-signal":[126],"complementary":[127],"metal-oxide-semiconductor":[128],"implementation":[129],"32-input":[132],"perceptron":[133],"LMS.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
