{"id":"https://openalex.org/W1574855368","doi":"https://doi.org/10.1109/icassp.1981.1171133","title":"A comparison of algorithms for adaptive estimation of the time delay between sampled signals","display_name":"A comparison of algorithms for adaptive estimation of the time delay between sampled signals","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1574855368","doi":"https://doi.org/10.1109/icassp.1981.1171133","mag":"1574855368"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1981.1171133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. 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/A5111723227","display_name":"D.M. Etter","orcid":null},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D. Etter","raw_affiliation_strings":["Electrical Engineering/Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering/Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084329327","display_name":"M. Masukawa","orcid":null},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Masukawa","raw_affiliation_strings":["Electrical Engineering/Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering/Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111723227"],"corresponding_institution_ids":["https://openalex.org/I169521973"],"apc_list":null,"apc_paid":null,"fwci":2.4752,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87261616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1253","last_page":"1256"},"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/T10860","display_name":"Speech and Audio Processing","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"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/gradient-descent","display_name":"Gradient descent","score":0.8206745982170105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7425398826599121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6045500636100769},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5383808016777039},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5067291855812073},{"id":"https://openalex.org/keywords/binary-search-algorithm","display_name":"Binary search algorithm","score":0.46415528655052185},{"id":"https://openalex.org/keywords/method-of-steepest-descent","display_name":"Method of steepest descent","score":0.43489062786102295},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.43282902240753174},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4105384051799774},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.41039323806762695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33310991525650024},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.28471583127975464},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.24862900376319885},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1644688844680786},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1508079469203949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14885419607162476}],"concepts":[{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.8206745982170105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7425398826599121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6045500636100769},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5383808016777039},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5067291855812073},{"id":"https://openalex.org/C121610932","wikidata":"https://www.wikidata.org/wiki/Q243754","display_name":"Binary search algorithm","level":3,"score":0.46415528655052185},{"id":"https://openalex.org/C158847443","wikidata":"https://www.wikidata.org/wiki/Q1997812","display_name":"Method of steepest descent","level":2,"score":0.43489062786102295},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.43282902240753174},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4105384051799774},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.41039323806762695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33310991525650024},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.28471583127975464},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.24862900376319885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1644688844680786},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1508079469203949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14885419607162476},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1981.1171133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":4,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1561348124","https://openalex.org/W2103248455","https://openalex.org/W2150156063"],"related_works":["https://openalex.org/W2393439324","https://openalex.org/W2382626982","https://openalex.org/W2081157561","https://openalex.org/W2376716665","https://openalex.org/W3197592642","https://openalex.org/W131846159","https://openalex.org/W2027078210","https://openalex.org/W2386196923","https://openalex.org/W2368086325","https://openalex.org/W1495725930"],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2],"shown":[3],"that":[4,12],"the":[5,28,34,39,43,88,103,112,126],"time":[6],"delay":[7,89,107,113],"between":[8],"two":[9],"sampled":[10],"signals":[11,45],"are":[13,60],"highly":[14],"correlated":[15],"can":[16],"be":[17,57,122],"determined":[18],"with":[19,91,115],"iterative":[20],"algorithms.":[21,131],"The":[22,94],"original":[23],"algorithm":[24,76],"was":[25],"based":[26,62,72],"on":[27,38,63,73],"LMS":[29],"steepest":[30,64],"descent":[31,65],"technique.":[32],"However,":[33],"error":[35,104],"function":[36,41],"depends":[37],"correlation":[40],"of":[42,128],"input":[44],"and":[46,109],"thus,":[47],"in":[48],"general,":[49],"is":[50,71,97],"not":[51,61],"unimodal.":[52],"Two":[53],"new":[54,83],"algorithms":[55],"will":[56,121],"examined":[58],"which":[59,77,85,101],"or":[66],"gradient":[67],"techniques.":[68],"One":[69],"technique":[70,96],"a":[74,98],"genetic":[75],"recombines":[78],"binary":[79],"strings":[80,84],"to":[81,87,124],"generate":[82],"converge":[86],"value":[90,114],"minimum":[92,116],"error.":[93,118],"other":[95],"linear":[99],"search":[100],"estimates":[102],"at":[105],"different":[106],"values":[108],"then":[110],"chooses":[111],"estimated":[117],"Computer":[119],"simulations":[120],"used":[123],"illustrate":[125],"performance":[127],"these":[129],"three":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}