{"id":"https://openalex.org/W4206587419","doi":"https://doi.org/10.23919/eusipco54536.2021.9616196","title":"Typical Performance of Iterative Reweighted Lasso for Compressed Sensing","display_name":"Typical Performance of Iterative Reweighted Lasso for Compressed Sensing","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4206587419","doi":"https://doi.org/10.23919/eusipco54536.2021.9616196"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616196","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616196","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5091691572","display_name":"Chihiro Teramoto","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chihiro Teramoto","raw_affiliation_strings":["Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan","Tokyo Institute of Technology, Tokyo"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]},{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040250215","display_name":"Kazushi Mimura","orcid":"https://orcid.org/0000-0002-0763-4925"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]},{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazushi Mimura","raw_affiliation_strings":["Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan","Tokyo Institute of Technology, Tokyo"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]},{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008161122","display_name":"Kazunori Iwata","orcid":"https://orcid.org/0000-0002-2638-7288"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Iwata","raw_affiliation_strings":["Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan","Tokyo Institute of Technology, Tokyo"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]},{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091691572"],"corresponding_institution_ids":["https://openalex.org/I114531698","https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":0.3308,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7742878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1940","last_page":"1944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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/T10500","display_name":"Sparse and Compressive Sensing 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/T10136","display_name":"Statistical Methods and Inference","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/lasso","display_name":"Lasso (programming language)","score":0.8403158187866211},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7239483594894409},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.624898374080658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597117006778717},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5624396204948425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5555077791213989},{"id":"https://openalex.org/keywords/iteratively-reweighted-least-squares","display_name":"Iteratively reweighted least squares","score":0.5318251252174377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35255002975463867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34692928194999695},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.2366448938846588},{"id":"https://openalex.org/keywords/non-linear-least-squares","display_name":"Non-linear least squares","score":0.06263303756713867}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.8403158187866211},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7239483594894409},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.624898374080658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597117006778717},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5624396204948425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5555077791213989},{"id":"https://openalex.org/C126090379","wikidata":"https://www.wikidata.org/wiki/Q6094424","display_name":"Iteratively reweighted least squares","level":4,"score":0.5318251252174377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35255002975463867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34692928194999695},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2366448938846588},{"id":"https://openalex.org/C45923927","wikidata":"https://www.wikidata.org/wiki/Q3319230","display_name":"Non-linear least squares","level":3,"score":0.06263303756713867},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616196","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616196","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5762871740","display_name":null,"funder_award_id":"16K12496,16H02878,18H03291","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1620449130","https://openalex.org/W1880154232","https://openalex.org/W1980079540","https://openalex.org/W1981487911","https://openalex.org/W2012961725","https://openalex.org/W2038232773","https://openalex.org/W2067348645","https://openalex.org/W2073868986","https://openalex.org/W2086979092","https://openalex.org/W2107861471","https://openalex.org/W2120032870","https://openalex.org/W2135046866","https://openalex.org/W2139053635","https://openalex.org/W2148486648","https://openalex.org/W2161765392","https://openalex.org/W2167644773","https://openalex.org/W2171456573","https://openalex.org/W2897775965","https://openalex.org/W3100706365","https://openalex.org/W3103424327","https://openalex.org/W3121195152","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W4256576576","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W4206587419"],"abstract_inverted_index":{"The":[0],"iterative":[1,29],"reweighted":[2,30],"Lasso":[3,31],"is":[4],"an":[5],"efficient":[6],"framework":[7],"to":[8,53],"recover":[9],"a":[10,14],"sparse":[11],"signal":[12],"from":[13],"noisy":[15],"linear":[16],"measurement.":[17],"Applying":[18],"the":[19,25,28,34,39,43,60],"statistical":[20],"mechanical":[21],"approach,":[22],"we":[23],"investigate":[24,54],"performance":[26],"of":[27,38,56],"by":[32],"evaluating":[33],"mean":[35],"squared":[36],"error":[37],"estimates.":[40],"Regions":[41],"where":[42],"reweighting":[44],"becomes":[45],"effective":[46],"are":[47],"revealed.":[48],"Our":[49],"analysis":[50],"allows":[51],"us":[52],"property":[55],"functions":[57],"that":[58],"define":[59],"weight.":[61]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}