{"id":"https://openalex.org/W2122541020","doi":"https://doi.org/10.1109/iscas.2009.5118325","title":"The misadjustment of the cascaded LMS prediction filter","display_name":"The misadjustment of the cascaded LMS prediction filter","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2122541020","doi":"https://doi.org/10.1109/iscas.2009.5118325","mag":"2122541020"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2009.5118325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2009.5118325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091779986","display_name":"Dongyan Huang","orcid":"https://orcid.org/0000-0001-8844-8579"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dong-Yan Huang","raw_affiliation_strings":["Institute of Infocomm Research-Agency for Science, Singapore","Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, South Tower, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Infocomm Research-Agency for Science, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, South Tower, Singapore 138632","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054558832","display_name":"Susanto Rahardja","orcid":"https://orcid.org/0000-0003-0831-6934"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Susanto Rahardja","raw_affiliation_strings":["Institute of Infocomm Research-Agency for Science, Singapore","Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, South Tower, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Infocomm Research-Agency for Science, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, South Tower, Singapore 138632","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2565","last_page":"2568"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9944000244140625,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.991599977016449,"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/adaptive-filter","display_name":"Adaptive filter","score":0.6655831336975098},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.6288880705833435},{"id":"https://openalex.org/keywords/exponential-growth","display_name":"Exponential growth","score":0.592674195766449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.592564582824707},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.5876662731170654},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5440191626548767},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5315437316894531},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5106719136238098},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5094719529151917},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.45564234256744385},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3983282744884491},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3192293643951416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2874819338321686},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12052127718925476},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07882225513458252},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06535390019416809}],"concepts":[{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.6655831336975098},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.6288880705833435},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.592674195766449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.592564582824707},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.5876662731170654},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5440191626548767},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5315437316894531},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5106719136238098},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5094719529151917},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.45564234256744385},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3983282744884491},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3192293643951416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2874819338321686},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12052127718925476},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07882225513458252},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06535390019416809},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2009.5118325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2009.5118325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4399999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W87496662","https://openalex.org/W1492221128","https://openalex.org/W2045219396","https://openalex.org/W2131487905","https://openalex.org/W2135681518","https://openalex.org/W2155954808","https://openalex.org/W2948845247"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W3040496336","https://openalex.org/W2144530466","https://openalex.org/W3134357585","https://openalex.org/W2476510629","https://openalex.org/W2792824092","https://openalex.org/W2612844333","https://openalex.org/W2253481662","https://openalex.org/W2105767219","https://openalex.org/W2982106677"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"use":[4],"a":[5,79],"stochastic":[6,12],"fixed-point":[7],"theorem":[8],"to":[9,50],"study":[10],"the":[11,19,26,29,34,40,55,60,67,70,86],"convergence":[13,32],"properties":[14],"(in":[15],"mean-squares":[16],"sense)":[17],"of":[18,57,69],"cascaded":[20],"LMS":[21,72],"predictor":[22],"including":[23],"conditions":[24],"on":[25,54],"stepsize":[27],"for":[28,39,44],"adaptive":[30],"algorithm":[31],"and":[33,48],"misadjustment.":[35],"An":[36],"analytic":[37],"expression":[38],"misadjustment":[41,68],"is":[42,64,89],"derived":[43],"Gaussian":[45],"statistical":[46],"signals":[47],"shown":[49],"be":[51,76,83],"exponentially":[52],"dependent":[53],"number":[56],"stages":[58],"in":[59],"cascade":[61],"structure,":[62],"which":[63],"higher":[65,80],"than":[66],"conventional":[71],"filter.":[73],"It":[74],"can":[75,82],"observed":[77],"that":[78],"misadjusment":[81],"expected":[84],"if":[85],"input":[87],"signal":[88],"extremely":[90],"uncorrelated.":[91]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
