{"id":"https://openalex.org/W1487987754","doi":"https://doi.org/10.1109/icassp.1986.1168889","title":"Dynamically-reduced complexity implementation of echo cancelers","display_name":"Dynamically-reduced complexity implementation of echo cancelers","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1487987754","doi":"https://doi.org/10.1109/icassp.1986.1168889","mag":"1487987754"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1168889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1168889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. 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/A5111982286","display_name":"Vijay K. Madisetti","orcid":"https://orcid.org/0000-0002-6539-6769"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"V. Madisetti","raw_affiliation_strings":["University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059798672","display_name":"David G. Messerschmitt","orcid":"https://orcid.org/0000-0002-5889-7346"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Messerschmitt","raw_affiliation_strings":["Electrical Engineering and Computer Sciences and Electronics Research Laboratory, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Sciences and Electronics Research Laboratory, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037211264","display_name":"Niklas K Nordstrom","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Nordstrom","raw_affiliation_strings":["Electrical Engineering and Computer Sciences and Electronics Research Laboratory, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Sciences and Electronics Research Laboratory, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111982286"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04916939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1313","last_page":"1316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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":1.0,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9991000294685364,"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":0.9986000061035156,"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/robustness","display_name":"Robustness (evolution)","score":0.7068573832511902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5759444236755371},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5556570291519165},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5440499186515808},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4822031259536743},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.47530612349510193},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44716015458106995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4428214430809021},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.437570720911026},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42585238814353943},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4213869571685791},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4139404892921448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35552531480789185},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3343648314476013},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.194086492061615}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7068573832511902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5759444236755371},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5556570291519165},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5440499186515808},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4822031259536743},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.47530612349510193},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44716015458106995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4428214430809021},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.437570720911026},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42585238814353943},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4213869571685791},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4139404892921448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35552531480789185},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3343648314476013},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.194086492061615},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1168889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1168889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2098288183","https://openalex.org/W2127099869","https://openalex.org/W2148748488","https://openalex.org/W2161730599"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2044386356","https://openalex.org/W4234799465","https://openalex.org/W2902195311","https://openalex.org/W2038737370","https://openalex.org/W3013650182","https://openalex.org/W2767038330","https://openalex.org/W4249605382","https://openalex.org/W4313491656","https://openalex.org/W4253938985"],"abstract_inverted_index":{"In":[0,50],"some":[1,24],"adaptive":[2,159],"filter":[3,85],"applications,":[4],"particularly":[5],"echo":[6],"cancellation,":[7],"most":[8],"of":[9,60,109,136,157,164],"the":[10,14,30,58,62,67,77,84,93,98,101,106,110,122,131,151,155,158],"tap":[11],"coefficients":[12,36,40],"in":[13,100,130,154],"convolution":[15],"sum":[16],"are":[17,41],"essentially":[18],"zero.":[19,49],"We":[20,91],"introduce":[21],"and":[22,44,89,97],"examine":[23],"No-Overkill":[25,118],"Schemes":[26,119],"(NOS)":[27],"that":[28,116],"eliminate":[29],"multiplications":[31],"required":[32],"for":[33,167],"these":[34,117,137],"zero":[35,43,71],"by":[37,81],"estimating":[38],"which":[39],"nearly":[42],"setting":[45],"them":[46],"to":[47,52,70,95,105,133,139],"exactly":[48],"addition":[51],"reducing":[53,61],"computation,":[54],"this":[55],"approach":[56],"has":[57],"advantage":[59],"excess":[63,102],"mean-square":[64],"error,":[65],"since":[66],"taps":[68,86],"set":[69],"have":[72],"no":[73,128],"asymptotic":[74],"fluctuation,":[75],"Specifically,":[76],"NOS":[78,148],"schemes":[79,138,149],"work":[80],"dynamically":[82],"partitioning":[83],"into":[87],"active-taps":[88],"zero-taps.":[90],"estimate":[92],"time":[94,132,141],"convergence":[96],"reduction":[99],"mean-square-error":[103],"due":[104],"statistical":[107],"fluctuation":[108],"falter":[111],"coefficients.":[112],"Our":[113],"results":[114],"indicate":[115],"significantly":[120],"reduce":[121],"computational":[123],"requirements":[124],"with":[125],"little":[126],"or":[127],"increase":[129,150],"convergence.":[134],"Robustness":[135],"a":[140],"varying":[142],"channel":[143],"is":[144,170],"also":[145],"considered.":[146],"The":[147],"control":[152],"overhead":[153],"implementation":[156,165],"filter,":[160],"so":[161],"additional":[162],"examination":[163],"tradeoffs":[166],"minimum":[168],"cost":[169],"required.":[171]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
