{"id":"https://openalex.org/W2078224959","doi":"https://doi.org/10.1109/icassp.2002.5745164","title":"Combined RLS-LMS initialization for per tone equalizers in DMT-receivers","display_name":"Combined RLS-LMS initialization for per tone equalizers in DMT-receivers","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2078224959","doi":"https://doi.org/10.1109/icassp.2002.5745164","mag":"2078224959"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5745164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745164","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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/A5067258284","display_name":"G. Ysebaert","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Geert Ysebaert","raw_affiliation_strings":["ESAT-SISTA, Katholieke Universiteit Leuven, Leuven, Belgium","Katholieke Universiteit Leuven - ESAT-SISTA, Kasteelpark Arenberg 10, B-3001 Heverlee - Belgium"],"affiliations":[{"raw_affiliation_string":"ESAT-SISTA, Katholieke Universiteit Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Katholieke Universiteit Leuven - ESAT-SISTA, Kasteelpark Arenberg 10, B-3001 Heverlee - Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051849103","display_name":"Marc Moonen","orcid":"https://orcid.org/0000-0003-4461-0073"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marc Moonen","raw_affiliation_strings":["ESAT-SISTA, Katholieke Universiteit Leuven, Leuven, Belgium","Katholieke Universiteit Leuven - ESAT-SISTA, Kasteelpark Arenberg 10, B-3001 Heverlee - Belgium"],"affiliations":[{"raw_affiliation_string":"ESAT-SISTA, Katholieke Universiteit Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Katholieke Universiteit Leuven - ESAT-SISTA, Kasteelpark Arenberg 10, B-3001 Heverlee - Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001799849","display_name":"T. Pollet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thierry Pollet","raw_affiliation_strings":["Access to Networks ALCATEL, Antwerp, Belgium","Access to Networks, ALCATEL, 2018 Antwerpen, Belgium"],"affiliations":[{"raw_affiliation_string":"Access to Networks ALCATEL, Antwerp, Belgium","institution_ids":[]},{"raw_affiliation_string":"Access to Networks, ALCATEL, 2018 Antwerpen, Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067258284"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":2.4667,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87337662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"2537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9994000196456909,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991000294685364,"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/initialization","display_name":"Initialization","score":0.8736690878868103},{"id":"https://openalex.org/keywords/equalizer","display_name":"Equalizer","score":0.7495706677436829},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.6855371594429016},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.6583868265151978},{"id":"https://openalex.org/keywords/adaptive-equalizer","display_name":"Adaptive equalizer","score":0.633871853351593},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.6128184795379639},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.603006899356842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5718504190444946},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5335275530815125},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5139471888542175},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4393141269683838},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42338865995407104},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.40736839175224304},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.40457361936569214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3346624970436096},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17242944240570068},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.15508747100830078},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.09414243698120117}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8736690878868103},{"id":"https://openalex.org/C67545415","wikidata":"https://www.wikidata.org/wiki/Q5384218","display_name":"Equalizer","level":3,"score":0.7495706677436829},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.6855371594429016},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.6583868265151978},{"id":"https://openalex.org/C25125847","wikidata":"https://www.wikidata.org/wiki/Q4680741","display_name":"Adaptive equalizer","level":4,"score":0.633871853351593},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.6128184795379639},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.603006899356842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5718504190444946},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5335275530815125},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5139471888542175},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4393141269683838},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42338865995407104},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.40736839175224304},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.40457361936569214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3346624970436096},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17242944240570068},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.15508747100830078},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.09414243698120117},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2002.5745164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745164","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.4.6937","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.6937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.esat.kuleuven.ac.be/pub/SISTA/ysebaert/reports/01_119.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1543511937","https://openalex.org/W1586900266","https://openalex.org/W1999542175","https://openalex.org/W2006356104","https://openalex.org/W2131909533","https://openalex.org/W2137340599","https://openalex.org/W2150940198","https://openalex.org/W2521442775","https://openalex.org/W2985352554"],"related_works":["https://openalex.org/W2352178434","https://openalex.org/W2018366688","https://openalex.org/W1984561329","https://openalex.org/W2351868092","https://openalex.org/W2950272089","https://openalex.org/W2372385147","https://openalex.org/W1804663541","https://openalex.org/W2352105133","https://openalex.org/W2182589471","https://openalex.org/W2168755097"],"abstract_inverted_index":{"In":[0,49],"classical":[1],"discrete":[2],"multi":[3],"tone":[4,35,42,60],"receivers,":[5],"the":[6,38,45,87],"equalizer":[7,15,61],"structure":[8],"consists":[9],"of":[10,69],"a":[11,32,52,67],"(real)":[12],"time":[13],"domain":[14,22],"(TEQ)":[16],"combined":[17],"with":[18,79,99],"(complex)":[19],"1-taps":[20],"frequency":[21],"equalizers.":[23],"Recently,":[24],"an":[25],"alternative":[26],"receiver":[27],"was":[28],"introduced":[29],"based":[30,65],"on":[31,40,66],"separate":[33],"per":[34,59],"equalization,":[36],"where":[37],"SNR":[39],"each":[41],"and":[43,74],"hence":[44],"bitrate":[46],"is":[47,63],"maximized.":[48],"this":[50,58],"paper,":[51],"new":[53],"adaptive":[54],"initialization":[55],"scheme":[56],"for":[57],"(PTEQ)":[62],"introduced,":[64],"combination":[68],"Least":[70,76],"Mean":[71],"Squares":[72,77],"(LMS)":[73],"Recursive":[75],"(RLS)":[78],"inverse":[80,100],"updating.":[81],"It":[82],"will":[83],"be":[84],"shown":[85],"that":[86],"proposed":[88],"method":[89],"exhibits":[90],"only":[91],"slightly":[92],"slower":[93],"convergence":[94],"compared":[95],"to":[96],"full":[97],"RLS":[98],"updating,":[101],"while":[102],"complexity":[103],"as":[104,106],"well":[105],"memory":[107],"cost":[108],"are":[109],"reduced":[110],"considerably.":[111]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}