{"id":"https://openalex.org/W3013107621","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048952","title":"Feature Normalized Lms Algorithms","display_name":"Feature Normalized Lms Algorithms","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013107621","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048952","mag":"3013107621"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9048952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","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/A5064616012","display_name":"Hamed Yazdanpanah","orcid":"https://orcid.org/0000-0002-7108-7866"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Hamed Yazdanpanah","raw_affiliation_strings":["Department of Computer Science, University of S\u00e3o Paulo (USP), S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of S\u00e3o Paulo (USP), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061595221","display_name":"Jos\u00e9 A. Apolin\u00e1rio","orcid":"https://orcid.org/0000-0003-1426-9636"},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose A. Apolinario","raw_affiliation_strings":["Programs of Electrical/Defense Engineering, Military Institute of Engineering (IME), Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Programs of Electrical/Defense Engineering, Military Institute of Engineering (IME), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I41870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064616012"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22113643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"806","last_page":"809"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/exploit","display_name":"Exploit","score":0.7230262756347656},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6893109083175659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6472366452217102},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6255118250846863},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6183769702911377},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5504246950149536},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5356378555297852},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5185164213180542},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4750789999961853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37044557929039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3388236463069916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25463640689849854},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06162133812904358}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7230262756347656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6893109083175659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6472366452217102},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6255118250846863},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6183769702911377},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5504246950149536},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5356378555297852},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5185164213180542},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4750789999961853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37044557929039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3388236463069916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25463640689849854},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06162133812904358},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9048952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1152868481","https://openalex.org/W1488315208","https://openalex.org/W1862125055","https://openalex.org/W1964258299","https://openalex.org/W1991363752","https://openalex.org/W2048926717","https://openalex.org/W2063675264","https://openalex.org/W2081187920","https://openalex.org/W2098674248","https://openalex.org/W2107861471","https://openalex.org/W2119099945","https://openalex.org/W2142058898","https://openalex.org/W2155912277","https://openalex.org/W2167178988","https://openalex.org/W2293909378","https://openalex.org/W2339465384","https://openalex.org/W2564016527","https://openalex.org/W2797078313","https://openalex.org/W2901865033","https://openalex.org/W2912385688","https://openalex.org/W2960657767","https://openalex.org/W2963893821","https://openalex.org/W2975105127","https://openalex.org/W2985560156","https://openalex.org/W2986211890","https://openalex.org/W3099579977"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Recently,":[0],"a":[1,37,60],"great":[2],"effort":[3],"has":[4],"been":[5],"observed":[6],"to":[7,31,49,68],"exploit":[8,50],"sparsity":[9,17,76],"in":[10,14,20],"physical":[11],"parameters;":[12],"however,":[13],"many":[15],"cases,":[16],"is":[18,47,59,77],"hidden":[19,51],"relations":[21],"between":[22],"parameters,":[23],"and":[24],"some":[25,80],"appropriate":[26],"tools":[27],"should":[28],"be":[29],"utilized":[30],"expose":[32],"it.":[33],"In":[34],"this":[35],"paper,":[36],"family":[38],"of":[39,56,102],"algorithms":[40,46,58,90],"called":[41],"feature":[42,62],"normalized":[43],"least-mean-square":[44],"(F-NLMS)":[45],"proposed":[48],"sparsity.":[52],"The":[53],"major":[54],"key":[55],"these":[57],"so-called":[61],"matrix":[63],"that":[64,87],"transforms":[65],"non-sparse":[66],"systems":[67,70],"new":[69],"containing":[71],"sparsity;":[72],"then":[73],"the":[74,88,93,99,103],"revealed":[75],"exploited":[78],"by":[79],"sparsity-promoting":[81],"penalty":[82],"function.":[83],"Numerical":[84],"results":[85],"demonstrate":[86],"F-NLMS":[89],"can":[91],"reduce":[92],"steady-state":[94],"mean-squared-error":[95],"(MSE)":[96],"and/or":[97],"improve":[98],"convergence":[100],"rate":[101],"learning":[104],"process":[105],"significantly.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}