{"id":"https://openalex.org/W2518874563","doi":"https://doi.org/10.1109/sam.2016.7569759","title":"Efficient linearized Bregman iteration for sparse adaptive filters and Kaczmarz solvers","display_name":"Efficient linearized Bregman iteration for sparse adaptive filters and Kaczmarz solvers","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2518874563","doi":"https://doi.org/10.1109/sam.2016.7569759","mag":"2518874563"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2016.7569759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2016.7569759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036326134","display_name":"Michael Lunglmayr","orcid":"https://orcid.org/0000-0002-4014-9681"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Michael Lunglmayr","raw_affiliation_strings":["Institute of Signal Processing, Johannes Kepler University, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049116697","display_name":"Mario Huemer","orcid":"https://orcid.org/0000-0002-3164-7232"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Mario Huemer","raw_affiliation_strings":["Institute of Signal Processing, Johannes Kepler University, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":3.7287,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94216204,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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/minification","display_name":"Minification","score":0.6364375948905945},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5469385385513306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4927394688129425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4738854765892029},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37939634919166565},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35066717863082886},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.24581852555274963}],"concepts":[{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6364375948905945},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5469385385513306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4927394688129425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4738854765892029},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37939634919166565},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35066717863082886},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.24581852555274963},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sam.2016.7569759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2016.7569759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"},{"id":"mag:2747939272","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201602269337497784","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W948098727","https://openalex.org/W1984553293","https://openalex.org/W1996287810","https://openalex.org/W2002878344","https://openalex.org/W2005082281","https://openalex.org/W2011181254","https://openalex.org/W2022573947","https://openalex.org/W2028781966","https://openalex.org/W2033468335","https://openalex.org/W2072378378","https://openalex.org/W2119667497","https://openalex.org/W2134332047","https://openalex.org/W2145096794","https://openalex.org/W2202176302","https://openalex.org/W2962733564","https://openalex.org/W2963893821"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793"],"abstract_inverted_index":{"Linearized":[0],"Bregman":[1,26,87],"iterations":[2],"are":[3],"low":[4],"complexity":[5,102],"and":[6,28],"high":[7],"precision":[8],"approaches":[9],"for":[10],"solving":[11],"the":[12,24,30,76,84,104],"combined":[13,53],"l1/l2minimization":[14,54,96],"problem.":[15],"In":[16],"this":[17,94],"work":[18],"we":[19,73,90],"give":[20],"a":[21,47,64],"derivation":[22],"of":[23,71,78],"linearized":[25,86],"iteration":[27],"show":[29,91],"links":[31],"to":[32,38,51,83],"Kaczmarz's":[33],"algorithm":[34],"as":[35,37],"well":[36],"sparse":[39],"least":[40],"mean":[41],"squares":[42],"(LMS)":[43],"filters.":[44],"We":[45],"present":[46],"novel":[48],"extension":[49,80,95],"allowing":[50],"perform":[52],"either":[55],"in":[56,63],"an":[57],"LMS":[58],"based":[59,66],"adaptive":[60],"filter":[61],"or":[62],"Kaczmarz":[65],"batch":[67],"solution.":[68],"By":[69],"means":[70],"simulations":[72],"demonstrate":[74],"that":[75,92],"performance":[77],"our":[79],"is":[81],"comparable":[82],"original":[85],"approaches.":[88],"Furthermore,":[89],"with":[93,100],"can":[97],"be":[98],"performed":[99],"less":[101],"than":[103],"corresponding":[105],"l2minimization.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
