{"id":"https://openalex.org/W4377715085","doi":"https://doi.org/10.1109/tsp.2023.3278861","title":"Unrolled Compressed Blind-Deconvolution","display_name":"Unrolled Compressed Blind-Deconvolution","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377715085","doi":"https://doi.org/10.1109/tsp.2023.3278861"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2023.3278861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3278861","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/A5088730122","display_name":"Bahareh Tolooshams","orcid":"https://orcid.org/0000-0002-5955-6535"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahareh Tolooshams","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5955-6535","affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083205956","display_name":"Satish Mulleti","orcid":"https://orcid.org/0000-0002-3995-9070"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satish Mulleti","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology (IIT) Bombay, Mumbai, India"],"raw_orcid":"https://orcid.org/0000-0002-3995-9070","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology (IIT) Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002643771","display_name":"Demba Ba","orcid":"https://orcid.org/0000-0002-1139-1030"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Demba Ba","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1139-1030","affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Faculty of Math and Computer Science, Weizmann Institute of Science, Rehovot, Israel"],"raw_orcid":"https://orcid.org/0000-0003-4358-5304","affiliations":[{"raw_affiliation_string":"Faculty of Math and Computer Science, Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1017,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7163747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"71","issue":null,"first_page":"2118","last_page":"2129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991999864578247,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/computer-science","display_name":"Computer science","score":0.7694859504699707},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.6174464225769043},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6128327250480652},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49520984292030334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49513760209083557},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.49372419714927673},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.46700677275657654},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.465175598859787},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.45138978958129883},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4297782778739929},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39372801780700684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3250584006309509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1830776035785675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7694859504699707},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6174464225769043},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6128327250480652},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49520984292030334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49513760209083557},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49372419714927673},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.46700677275657654},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.465175598859787},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.45138978958129883},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4297782778739929},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39372801780700684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3250584006309509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1830776035785675},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2023.3278861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3278861","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W562372631","https://openalex.org/W1522301498","https://openalex.org/W1995703890","https://openalex.org/W2041507040","https://openalex.org/W2043422651","https://openalex.org/W2100556411","https://openalex.org/W2102662752","https://openalex.org/W2111273705","https://openalex.org/W2115706991","https://openalex.org/W2118103795","https://openalex.org/W2138787877","https://openalex.org/W2140122025","https://openalex.org/W2147746039","https://openalex.org/W2148752651","https://openalex.org/W2508457857","https://openalex.org/W2516015953","https://openalex.org/W2578009003","https://openalex.org/W2594299404","https://openalex.org/W2748695425","https://openalex.org/W2792276363","https://openalex.org/W2952071070","https://openalex.org/W2963372528","https://openalex.org/W2963796402","https://openalex.org/W2964322393","https://openalex.org/W2993573967","https://openalex.org/W3035162526","https://openalex.org/W3045012028","https://openalex.org/W3045150439","https://openalex.org/W3133902371","https://openalex.org/W3149494651","https://openalex.org/W3160975046","https://openalex.org/W4225316985","https://openalex.org/W4287162428","https://openalex.org/W4312790010","https://openalex.org/W6631190155","https://openalex.org/W6677407863","https://openalex.org/W6677645113","https://openalex.org/W6769191023","https://openalex.org/W6841042895"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2586325539","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2029084792","https://openalex.org/W2589098082"],"abstract_inverted_index":{"The":[0,47,115],"problem":[1],"of":[2,77,90,94,129,144,168],"sparse":[3,79,130],"multichannel":[4],"blind":[5,32],"deconvolution":[6],"(S-MBD)":[7],"arises":[8],"frequently":[9],"in":[10,45,65,157],"many":[11],"engineering":[12],"applications":[13,159],"such":[14],"as":[15],"radar/sonar/ultrasound":[16],"imaging.":[17],"To":[18],"reduce":[19],"its":[20],"computational":[21],"and":[22,75,110,147],"implementation":[23,66],"cost,":[24],"we":[25,162],"propose":[26,99],"a":[27,54,58,62,78,91,100,118],"compression":[28,49,95,108],"method":[29,138],"that":[30,122,134],"enables":[31],"recovery":[33,76,150],"from":[34,81],"much":[35],"fewer":[36],"measurements":[37,125],"with":[38],"respect":[39],"to":[40,105,142,153,172],"the":[41,51,73,88,107,112,164],"full":[42],"received":[43],"signal":[44,52],"time.":[46],"proposed":[48],"measures":[50],"through":[53],"filter":[55,80,109],"followed":[56],"by":[57],"subsampling,":[59],"allowing":[60],"for":[61,72,87],"significant":[63],"reduction":[64],"cost.":[67],"We":[68,132],"derive":[69],"theoretical":[70],"guarantees":[71],"identifiability":[74],"compressed":[82,124],"measurements.":[83],"Our":[84],"results":[85],"allow":[86],"design":[89],"wide":[92],"class":[93],"filters.":[96,131],"We,":[97],"then,":[98],"data-driven":[101],"unrolled":[102,136,169],"learning":[103,137,170],"framework":[104],"learn":[106],"solve":[111],"S-MBD":[113],"problem.":[114],"encoder":[116],"is":[117,139],"recurrent":[119],"inference":[120],"network":[121],"maps":[123],"into":[126],"an":[127],"estimate":[128],"demonstrate":[133],"our":[135],"more":[140],"robust":[141],"choices":[143],"source":[145],"shapes":[146],"has":[148],"better":[149],"performance":[151],"compared":[152,171],"optimization-based":[154],"methods.":[155],"Finally,":[156],"data-limited":[158],"(fewshot":[160],"learning),":[161],"highlight":[163],"superior":[165],"generalization":[166],"capability":[167],"conventional":[173],"deep":[174],"learning.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}