{"id":"https://openalex.org/W2104722540","doi":"https://doi.org/10.1109/apccas.2010.5774742","title":"Sparse LMS with segment zero attractors for adaptive estimation of sparse signals","display_name":"Sparse LMS with segment zero attractors for adaptive estimation of sparse signals","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2104722540","doi":"https://doi.org/10.1109/apccas.2010.5774742","mag":"2104722540"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2010.5774742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2010.5774742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Asia Pacific Conference on Circuits and Systems","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/A5029123550","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-0350-0313"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis,55455, USA,"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis,55455, USA,","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041064476","display_name":"Gerald E. Sobelman","orcid":"https://orcid.org/0000-0002-4415-7320"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerald E. Sobelman","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis,55455, USA,"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis,55455, USA,","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029123550"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.3388,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.65126876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"422","last_page":"425"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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/T10931","display_name":"Direction-of-Arrival Estimation 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/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.7537570595741272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128117680549622},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.6038483381271362},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5733469128608704},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.47031083703041077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4304550290107727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4213300049304962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34898197650909424},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3379064202308655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19399607181549072}],"concepts":[{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.7537570595741272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128117680549622},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.6038483381271362},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5733469128608704},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.47031083703041077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4304550290107727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4213300049304962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34898197650909424},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3379064202308655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19399607181549072},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2010.5774742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2010.5774742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Asia Pacific Conference on Circuits and Systems","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":17,"referenced_works":["https://openalex.org/W1993417310","https://openalex.org/W2050994160","https://openalex.org/W2060008332","https://openalex.org/W2098674248","https://openalex.org/W2099464104","https://openalex.org/W2132240000","https://openalex.org/W2135046866","https://openalex.org/W2138147287","https://openalex.org/W2143643945","https://openalex.org/W2153203422","https://openalex.org/W2482792214","https://openalex.org/W2895674046","https://openalex.org/W4250955649","https://openalex.org/W6674616871","https://openalex.org/W6680032828","https://openalex.org/W6680156768","https://openalex.org/W6681126137"],"related_works":["https://openalex.org/W2287235845","https://openalex.org/W2586228848","https://openalex.org/W2081837274","https://openalex.org/W2253481662","https://openalex.org/W1998353256","https://openalex.org/W2357454918","https://openalex.org/W2189195857","https://openalex.org/W3040496336","https://openalex.org/W2370278301","https://openalex.org/W2146261928"],"abstract_inverted_index":{"Adaptive":[0],"sparse":[1,27,77],"signal":[2],"estimation":[3],"is":[4,61,115],"needed":[5],"for":[6],"obtaining":[7],"accurate":[8],"channel":[9],"knowledge":[10],"in":[11,105],"communication":[12],"systems":[13],"where":[14],"the":[15,30,35,44,51,54,103,106],"system":[16],"response":[17],"can":[18],"be":[19],"assumed":[20],"to":[21,49,118],"contain":[22],"many":[23],"near-zero":[24],"coefficients.":[25],"For":[26],"filter":[28],"design,":[29],"zero-attracting":[31],"LMS":[32,46,78],"(ZA-LMS)":[33],"incorporates":[34],"l":[36],"<sub":[37],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[39],"norm":[40],"penalty":[41],"function":[42,48],"into":[43],"quadratic":[45],"cost":[47],"promote":[50],"sparseness":[52],"during":[53],"adaptation":[55],"process.":[56],"The":[57,92,111],"reweighted":[58,64],"ZA-LMS":[59],"(RZA-LMS)":[60],"developed":[62,117],"using":[63,98],"zero":[65,82],"attractors":[66],"with":[67,80],"better":[68],"performance.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73],"propose":[74],"two":[75],"new":[76],"algorithms":[79],"segment":[81],"attractors,":[83],"referred":[84],"as":[85],"Segment":[86,90,93,113,130],"RZA-LMS":[87,94,96,114],"and":[88,123],"Discrete":[89,112],"RZA-LMS.":[91,110,131],"outperforms":[95],"by":[97],"a":[99],"piece-wise":[100],"approximation":[101],"of":[102,109],"reciprocal":[104],"iterative":[107],"algorithm":[108],"further":[116],"achieve":[119],"faster":[120],"convergence":[121],"speed":[122],"lower":[124],"steady":[125],"state":[126],"error":[127],"performance":[128],"than":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
