{"id":"https://openalex.org/W4210420567","doi":"https://doi.org/10.1109/tsp.2022.3144948","title":"Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning","display_name":"Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210420567","doi":"https://doi.org/10.1109/tsp.2022.3144948"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3144948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3144948","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":["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/A5033975954","display_name":"Aditya Sant","orcid":"https://orcid.org/0000-0003-4369-4519"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aditya Sant","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056939003","display_name":"Markus Leinonen","orcid":"https://orcid.org/0000-0002-5639-3144"},"institutions":[{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]},{"id":"https://openalex.org/I4392738179","display_name":"Center for Wireless Communications","ror":"https://ror.org/04b57z061","country_code":"US","type":"facility","lineage":["https://openalex.org/I36258959","https://openalex.org/I4392738179"]},{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["CN","FI","US"],"is_corresponding":false,"raw_author_name":"Markus Leinonen","raw_affiliation_strings":["Centre for Wireless Communications &#x2013; Radio Technologies, University of Oulu, Oulu, Finland","Centre for Wireless Communications &#x2013"],"affiliations":[{"raw_affiliation_string":"Centre for Wireless Communications &#x2013; Radio Technologies, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Centre for Wireless Communications &#x2013","institution_ids":["https://openalex.org/I4210153300","https://openalex.org/I4392738179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001700017","display_name":"Bhaskar D. Rao","orcid":"https://orcid.org/0000-0001-6357-689X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar D. Rao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033975954"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":4.6502,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.96132714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1056","last_page":"1071"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9983999729156494,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9922000169754028,"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/hyperparameter","display_name":"Hyperparameter","score":0.6026458740234375},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6007285118103027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.569815456867218},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5351178646087646},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5246187448501587},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5047708749771118},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.44442325830459595},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4260554909706116},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4187677204608917},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3795529007911682},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3735876679420471},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2921358048915863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28529787063598633},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.17976751923561096}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6026458740234375},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6007285118103027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569815456867218},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5351178646087646},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5246187448501587},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5047708749771118},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.44442325830459595},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4260554909706116},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4187677204608917},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3795529007911682},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3735876679420471},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2921358048915863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28529787063598633},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.17976751923561096},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2022.3144948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3144948","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:oulu.fi:nbnfi-fe2022051736128","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2022051736128","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2905301047","display_name":null,"funder_award_id":"N00014-18-1-2038","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G3450801811","display_name":null,"funder_award_id":"323698","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G4846685480","display_name":null,"funder_award_id":"319485","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337697","display_name":"Center for Wireless Communications, University of California, San Diego","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1567512734","https://openalex.org/W1723619723","https://openalex.org/W1974164873","https://openalex.org/W1981157266","https://openalex.org/W1987415890","https://openalex.org/W2000721204","https://openalex.org/W2000769684","https://openalex.org/W2002892557","https://openalex.org/W2011181254","https://openalex.org/W2016670111","https://openalex.org/W2023901033","https://openalex.org/W2033419225","https://openalex.org/W2048428956","https://openalex.org/W2050834445","https://openalex.org/W2053808172","https://openalex.org/W2065513175","https://openalex.org/W2070256194","https://openalex.org/W2071282831","https://openalex.org/W2083042020","https://openalex.org/W2095984592","https://openalex.org/W2098996169","https://openalex.org/W2100526560","https://openalex.org/W2103559027","https://openalex.org/W2107604145","https://openalex.org/W2107861471","https://openalex.org/W2115606304","https://openalex.org/W2125680629","https://openalex.org/W2135780853","https://openalex.org/W2136870201","https://openalex.org/W2138019504","https://openalex.org/W2145096794","https://openalex.org/W2146000945","https://openalex.org/W2148154358","https://openalex.org/W2152279006","https://openalex.org/W2155524176","https://openalex.org/W2156060175","https://openalex.org/W2161765392","https://openalex.org/W2171884936","https://openalex.org/W2171980229","https://openalex.org/W2339848418","https://openalex.org/W2342750892","https://openalex.org/W2408536916","https://openalex.org/W2596873572","https://openalex.org/W2604977491","https://openalex.org/W2790212948","https://openalex.org/W2908603021","https://openalex.org/W2920309202","https://openalex.org/W2920485214","https://openalex.org/W2968867437","https://openalex.org/W3005708632","https://openalex.org/W3015876643","https://openalex.org/W3163177387","https://openalex.org/W4250739957","https://openalex.org/W4250955649","https://openalex.org/W6676940277","https://openalex.org/W6677581936","https://openalex.org/W6680210033","https://openalex.org/W6684942582"],"related_works":["https://openalex.org/W3128856671","https://openalex.org/W2756132392","https://openalex.org/W3035814349","https://openalex.org/W4285101096","https://openalex.org/W4382725876","https://openalex.org/W2084892497","https://openalex.org/W2115614142","https://openalex.org/W4320477335","https://openalex.org/W1561889708","https://openalex.org/W2275184629"],"abstract_inverted_index":{"One":[0],"of":[1,22,60,94,102,166,173],"the":[2,53,64,87,115,125,138,148,156,164,167],"main":[3],"challenges":[4],"in":[5,120],"block-sparse":[6,37],"signal":[7,38,54,116,186],"recovery,":[8],"as":[9],"encountered":[10],"in,":[11],"e.g.,":[12],"multi-antenna":[13],"mmWave":[14],"channel":[15],"models,":[16],"is":[17,161,171],"block-patterned":[18,178],"estimation":[19],"<i>without":[20],"knowledge":[21],"block":[23,42,168],"sizes":[24],"and":[25,84,117,170,179],"boundaries</i>.":[26],"We":[27,127],"propose":[28],"a":[29,79,92,99,109,121],"novel":[30],"Sparse":[31],"Bayesian":[32],"Learning":[33],"(SBL)":[34],"method":[35],"for":[36,63,146,184],"recovery":[39,187],"under":[40],"unknown":[41],"patterns.":[43],"Contrary":[44],"to":[45,113,136,163],"conventional":[46,80],"approaches":[47],"that":[48,155],"impose":[49],"block-promoting":[50],"regularization":[51],"on":[52,78,134],"components,":[55,181],"we":[56],"apply":[57],"two":[58],"classes":[59],"<i>hyperparameter</i>":[61],"regularizers":[62],"SBL":[65,88,139,159],"cost":[66],"function,":[67],"inspired":[68],"by":[69],"total":[70],"variation":[71],"(TV)":[72],"denoising.":[73],"The":[74,105,151],"first":[75],"class":[76,107],"relies":[77],"TV":[81,111],"difference":[82],"unit":[83],"allows":[85],"performing":[86],"inference":[89,140],"iteratively":[90],"through":[91,141],"set":[93],"convex":[95],"optimization":[96,131],"problems,":[97],"enabling":[98],"flexible":[100],"choice":[101],"numerical":[103,152],"solvers.":[104],"second":[106],"incorporates":[108],"region-aware":[110],"penalty":[112],"penalize":[114],"zero":[118],"blocks":[119],"dissimilar":[122],"manner,":[123],"enhancing":[124],"performance.":[126],"derive":[128],"an":[129],"alternating":[130],"algorithm":[132,160],"based":[133],"expectation-maximization":[135],"perform":[137],"computationally":[142],"efficient":[143],"parallel":[144],"updates":[145],"both":[147,177],"regularizer":[149],"classes.":[150],"results":[153],"show":[154],"proposed":[157],"TV-regularized":[158],"robust":[162],"nature":[165],"structure":[169],"capable":[172],"recovering":[174],"signals":[175],"with":[176],"isolated":[180],"proving":[182],"effective":[183],"various":[185],"systems.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}