{"id":"https://openalex.org/W2171529483","doi":"https://doi.org/10.1109/icassp.1985.1168275","title":"Identification of sparse impulse response systems using an adaptive delay filter","display_name":"Identification of sparse impulse response systems using an adaptive delay filter","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W2171529483","doi":"https://doi.org/10.1109/icassp.1985.1168275","mag":"2171529483"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. 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":["EECE Department, University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"EECE Department, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111723227"],"corresponding_institution_ids":["https://openalex.org/I169521973"],"apc_list":null,"apc_paid":null,"fwci":3.3918,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.92098314,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"1169","last_page":"1172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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/finite-impulse-response","display_name":"Finite impulse response","score":0.7202423810958862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6463503241539001},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5718751549720764},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5526347160339355},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5453987121582031},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4751023054122925},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4504280686378479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.356466144323349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22043633460998535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19879713654518127},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.11124134063720703}],"concepts":[{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.7202423810958862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6463503241539001},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5718751549720764},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5526347160339355},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5453987121582031},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4751023054122925},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4504280686378479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.356466144323349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22043633460998535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19879713654518127},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.11124134063720703},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1985.1168275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. 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":7,"referenced_works":["https://openalex.org/W166483626","https://openalex.org/W2098774258","https://openalex.org/W2105295695","https://openalex.org/W2133247229","https://openalex.org/W4236087597","https://openalex.org/W6606793642","https://openalex.org/W6675977592"],"related_works":["https://openalex.org/W156274020","https://openalex.org/W2133133185","https://openalex.org/W4312799022","https://openalex.org/W2163053524","https://openalex.org/W167975066","https://openalex.org/W2001917356","https://openalex.org/W2382161936","https://openalex.org/W176335707","https://openalex.org/W4388903858","https://openalex.org/W2385614044"],"abstract_inverted_index":{"This":[0],"paper":[1,104],"discusses":[2],"a":[3,11,14,25,33,41,63,87,106,140],"new":[4,107,125],"adaptive":[5,22,28],"technique":[6,20,100,108,126],"for":[7,21,35,43],"system":[8,58,138],"identification":[9,23],"of":[10,68,90,129],"model":[12],"with":[13,27],"sparse":[15,64,141],"impulse":[16,65,142],"response.":[17,143],"The":[18,99],"standard":[19],"uses":[24],"filter":[26],"coefficients":[29,70],"that":[30,48,109],"range":[31],"from":[32],"coefficient":[34,42,81,120],"the":[36,44,54,57,91,119,127,137],"zero":[37],"delay":[38,46,113,130],"tap":[39,47,114],"through":[40],"largest":[45],"is":[49,82,93],"assumed":[50],"to":[51,59,73],"be":[52,60,133],"in":[53,84,102],"system.":[55],"When":[56],"modelled":[61],"has":[62,139],"response,":[66],"many":[67],"these":[69,96],"will":[71],"converge":[72],"zero,":[74],"or":[75],"very":[76],"small":[77],"values.":[78],"Since":[79],"each":[80,85,112],"updated":[83],"iteration,":[86],"good":[88],"deal":[89],"adaptation":[92],"spent":[94],"updating":[95],"unnecessary":[97],"weights.":[98],"presented":[101],"this":[103,124],"represents":[105],"serially":[110],"adapts":[111],"value":[115],"as":[116,118],"well":[117],"value.":[121],"Thus,":[122],"using":[123],"number":[128],"taps":[131],"can":[132],"greatly":[134],"reduced":[135],"if":[136]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
