{"id":"https://openalex.org/W4399019925","doi":"https://doi.org/10.1007/s11265-024-01915-w","title":"Kaczmarz Projection Algorithms with Rank Two Gain Update","display_name":"Kaczmarz Projection Algorithms with Rank Two Gain Update","publication_year":2024,"publication_date":"2024-05-01","ids":{"openalex":"https://openalex.org/W4399019925","doi":"https://doi.org/10.1007/s11265-024-01915-w"},"language":"en","primary_location":{"id":"doi:10.1007/s11265-024-01915-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-024-01915-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11265-024-01915-w.pdf","source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11265-024-01915-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057084559","display_name":"Alexander Stotsky","orcid":"https://orcid.org/0000-0002-9197-8340"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Alexander Stotsky","raw_affiliation_strings":["Systems and Control Division, Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, SE, 412 96, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems and Control Division, Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, SE, 412 96, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057084559"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.3273,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5098498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"96","issue":"4-5","first_page":"327","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9968000054359436,"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":0.9968000054359436,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9943000078201294,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/orthogonality","display_name":"Orthogonality","score":0.7878148555755615},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6885817050933838},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6287861466407776},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5483770966529846},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5230794548988342},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5104783773422241},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4437685012817383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40804317593574524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34183135628700256},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2391001284122467}],"concepts":[{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.7878148555755615},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6885817050933838},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6287861466407776},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5483770966529846},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5230794548988342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5104783773422241},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4437685012817383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40804317593574524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34183135628700256},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2391001284122467},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11265-024-01915-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-024-01915-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11265-024-01915-w.pdf","source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2405.16903","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.16903","pdf_url":"https://arxiv.org/pdf/2405.16903","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:research.chalmers.se:541430","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/541430","pdf_url":"https://research.chalmers.se/publication/541430/file/541430_Fulltext.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1007/s11265-024-01915-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-024-01915-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11265-024-01915-w.pdf","source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321523","display_name":"Chalmers Tekniska H\u00f6gskola","ror":"https://ror.org/040wg7k59"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399019925.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2036620827","https://openalex.org/W2050021183","https://openalex.org/W2073620655","https://openalex.org/W2081166352","https://openalex.org/W2087197472","https://openalex.org/W2121853467","https://openalex.org/W2139182243","https://openalex.org/W2172190709","https://openalex.org/W2173639595","https://openalex.org/W2618861343","https://openalex.org/W3159492765","https://openalex.org/W4212830218","https://openalex.org/W4289535914","https://openalex.org/W4319761697"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W3014540454","https://openalex.org/W1994625207"],"abstract_inverted_index":{"Abstract":[0],"New":[1],"Kaczmarz":[2,45],"algorithms":[3,46,79],"with":[4,43,47],"rank":[5,48],"two":[6],"gain":[7],"update,":[8],"extended":[9],"orthogonality":[10],"property":[11],"and":[12,19,31,37,59],"forgetting":[13,21,29],"mechanism":[14],"which":[15],"includes":[16],"both":[17],"exponential":[18],"instantaneous":[20],"(implemented":[22],"via":[23],"a":[24],"proper":[25],"choice":[26],"of":[27,61,64,77,85,87,94],"the":[28,32,62,65,83,88,92],"factor":[30],"window":[33],"size)":[34],"are":[35],"introduced":[36],"systematically":[38],"associated":[39],"in":[40,82,91],"this":[41],"paper":[42],"well-known":[44],"one":[49],"update.":[50],"The":[51,75],"parameter":[52],"convergence":[53,60],"was":[54],"proved":[55],"using":[56],"Lyapunov":[57],"method":[58],"inverse":[63],"information":[66],"matrix":[67],"can":[68],"be":[69],"used":[70],"for":[71],"further":[72],"performance":[73,76],"improvement.":[74],"new":[78],"is":[80],"examined":[81],"problem":[84],"estimation":[86],"grid":[89],"events":[90],"presence":[93],"significant":[95],"harmonic":[96],"emissions.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2024-05-26T00:00:00"}
