{"id":"https://openalex.org/W1733556918","doi":"https://doi.org/10.1109/tsp.2015.2477049","title":"Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty","display_name":"Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty","publication_year":2015,"publication_date":"2015-09-07","ids":{"openalex":"https://openalex.org/W1733556918","doi":"https://doi.org/10.1109/tsp.2015.2477049","mag":"1733556918"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2477049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2477049","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1503.06679","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012644755","display_name":"Jong Chul Ye","orcid":"https://orcid.org/0000-0001-9763-9609"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Chul Ye","raw_affiliation_strings":["Department of Bio and Brain Engineering, Korea Advanced Institute of Science & Technology (KAIST), Daejon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bio and Brain Engineering, Korea Advanced Institute of Science & Technology (KAIST), Daejon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416706","display_name":"Jong Min Kim","orcid":"https://orcid.org/0000-0002-6156-7639"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3131980609","display_name":"Korean Academy of Science and Technology","ror":"https://ror.org/01j49yd81","country_code":"KR","type":"education","lineage":["https://openalex.org/I3131980609"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Min Kim","raw_affiliation_strings":["Department of Mathematics and Computer Sciences, Korea Science Academy of KAIST, Busan, Korea","[Department of Mathematics and Computer Sciences, Korea Science Academy of KAIST, Busan, Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Sciences, Korea Science Academy of KAIST, Busan, Korea","institution_ids":["https://openalex.org/I3131980609","https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Department of Mathematics and Computer Sciences, Korea Science Academy of KAIST, Busan, Korea]","institution_ids":["https://openalex.org/I3131980609","https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026523226","display_name":"Yoram Bresler","orcid":"https://orcid.org/0000-0002-9738-1094"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoram Bresler","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, USA","[Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, USA]","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0198,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9298928,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"63","issue":"24","first_page":"6595","last_page":"6605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing 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/T10500","display_name":"Sparse and Compressive Sensing 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/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9984999895095825,"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/restricted-isometry-property","display_name":"Restricted isometry property","score":0.6935608983039856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6244395971298218},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6060643196105957},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5283763408660889},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.510730504989624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47429612278938293},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.41933512687683105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38639530539512634},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36807799339294434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20135584473609924}],"concepts":[{"id":"https://openalex.org/C17902559","wikidata":"https://www.wikidata.org/wiki/Q17099734","display_name":"Restricted isometry property","level":3,"score":0.6935608983039856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6244395971298218},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6060643196105957},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5283763408660889},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.510730504989624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47429612278938293},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.41933512687683105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38639530539512634},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36807799339294434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20135584473609924},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2015.2477049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2477049","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1503.06679","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1503.06679","pdf_url":"https://arxiv.org/pdf/1503.06679","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1503.06679","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1503.06679","pdf_url":"https://arxiv.org/pdf/1503.06679","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W78749393","https://openalex.org/W1774526428","https://openalex.org/W1916337001","https://openalex.org/W1974774078","https://openalex.org/W2051664786","https://openalex.org/W2056215075","https://openalex.org/W2063095100","https://openalex.org/W2083042020","https://openalex.org/W2125536150","https://openalex.org/W2125680629","https://openalex.org/W2127870457","https://openalex.org/W2129918728","https://openalex.org/W2135780853","https://openalex.org/W2152279006","https://openalex.org/W2152374199","https://openalex.org/W2153609494","https://openalex.org/W2162409952","https://openalex.org/W2164696938","https://openalex.org/W2171787095","https://openalex.org/W2340859457","https://openalex.org/W2550766755","https://openalex.org/W2561113646","https://openalex.org/W2595142274","https://openalex.org/W3098083265","https://openalex.org/W3098453412","https://openalex.org/W3125735862","https://openalex.org/W4250589301","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W1595179898","https://openalex.org/W2949399405","https://openalex.org/W4301619540","https://openalex.org/W4297570801","https://openalex.org/W1639246335","https://openalex.org/W116214155","https://openalex.org/W2952050240","https://openalex.org/W2568623927","https://openalex.org/W2085436476","https://openalex.org/W2025666718"],"abstract_inverted_index":{"A":[0],"multiple":[1],"measurement":[2],"vector":[3],"problem":[4,13],"(MMV)":[5],"is":[6,34,146],"a":[7,19,62,80,143,170],"generalization":[8],"of":[9,18,21,27,31,116,160,172,176,182],"the":[10,16,28,38,49,72,77,85,91,105,109,113,117,121,127,161,179,183,189,194],"compressed":[11],"sensing":[12],"that":[14,37,70,83,140,153,188],"addresses":[15],"recovery":[17,46,95],"set":[20],"jointly":[22],"sparse":[23,45,52,94],"signal":[24,184],"vectors.":[25],"One":[26],"important":[29,64],"contributions":[30],"this":[32],"paper":[33],"to":[35,126,142],"show":[36,69,139,187],"seemingly":[39],"least":[40],"related":[41],"state-of-the-art":[42],"MMV":[43],"joint":[44,93],"algorithms":[47,59,96],"-":[48,60],"M-SBL":[50,78,195],"(multiple":[51],"Bayesian":[53],"learning)":[54],"and":[55,178,196],"subspace-based":[56,92],"hybrid":[57],"greedy":[58],"have":[61],"very":[63],"link.":[65],"More":[66],"specifically,":[67],"we":[68,103,138],"replacing":[71],"log":[73],"det(\u00b7)":[74],"term":[75],"in":[76,90,120,174],"by":[79],"rank":[81,111],"surrogate":[82],"exploits":[84],"spark":[86],"reduction":[87],"property":[88],"discovered":[89],"provides":[97],"significant":[98],"improvements.":[99],"In":[100],"particular,":[101],"if":[102],"use":[104],"Schatten-p":[106],"quasi-norm":[107],"as":[108,130],"corresponding":[110],"surrogate,":[112],"global":[114],"minimizer":[115,145],"cost":[118],"function":[119],"proposed":[122,190],"algorithm":[123,152,191],"becomes":[124],"identical":[125],"true":[128],"solution":[129],"p":[131],"\u2192":[132],"0.":[133],"Furthermore,":[134],"under":[135,169],"regularity":[136],"conditions,":[137],"convergence":[141],"local":[144],"guaranteed":[147],"using":[148],"an":[149],"alternating":[150],"minimization":[151,162],"has":[154],"closed":[155],"form":[156],"expressions":[157],"for":[158],"each":[159],"steps,":[163],"which":[164],"are":[165],"convex.":[166],"Numerical":[167],"simulations":[168],"variety":[171],"scenarios":[173],"terms":[175],"SNR":[177],"condition":[180],"number":[181],"amplitude":[185],"matrix":[186],"consistently":[192],"outperformed":[193],"other":[197],"state-of-the":[198],"art":[199],"algorithms.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
