{"id":"https://openalex.org/W2042093513","doi":"https://doi.org/10.1109/ciss.2010.5464901","title":"Orthogonal Matching Pursuit based recovery for correlated sources with partially disjoint supports","display_name":"Orthogonal Matching Pursuit based recovery for correlated sources with partially disjoint supports","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2042093513","doi":"https://doi.org/10.1109/ciss.2010.5464901","mag":"2042093513"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2010.5464901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2010.5464901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059775092","display_name":"I\u00f1aki Esnaola","orcid":"https://orcid.org/0000-0001-5597-1718"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Inaki Esnaola","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","Department of Electrical and Computer Engineering, University of Delaware, 140 Evans Hall, Newark, 19716 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, 140 Evans Hall, Newark, 19716 USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039838550","display_name":"Rafael E. Carrillo","orcid":"https://orcid.org/0000-0001-7149-6304"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rafael E. Carrillo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","Department of Electrical and Computer Engineering, University of Delaware, 140 Evans Hall, Newark, 19716 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, 140 Evans Hall, Newark, 19716 USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033296732","display_name":"Javier Garcia\u2010Frias","orcid":"https://orcid.org/0000-0002-9556-3564"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Javier Garcia-Frias","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","Department of Electrical and Computer Engineering, University of Delaware, 140 Evans Hall, Newark, 19716 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, 140 Evans Hall, Newark, 19716 USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036946701","display_name":"Kenneth E. Barner","orcid":"https://orcid.org/0000-0002-0936-7840"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth E. Barner","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","Department of Electrical and Computer Engineering, University of Delaware, 140 Evans Hall, Newark, 19716 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, 140 Evans Hall, Newark, 19716 USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/matching-pursuit","display_name":"Matching pursuit","score":0.8319729566574097},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.763069748878479},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7275586128234863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254334688186646},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.6247401237487793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6186186671257019},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5881112813949585},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48955807089805603},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4505421221256256},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4342584013938904},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42207422852516174},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.41776806116104126},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3394710421562195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3203369379043579},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.283231258392334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2736923098564148},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1720961332321167},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1406494677066803},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08424395322799683}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.8319729566574097},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.763069748878479},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7275586128234863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254334688186646},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6247401237487793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6186186671257019},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5881112813949585},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48955807089805603},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4505421221256256},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4342584013938904},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42207422852516174},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.41776806116104126},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3394710421562195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3203369379043579},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.283231258392334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2736923098564148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1720961332321167},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1406494677066803},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08424395322799683},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2010.5464901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2010.5464901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1848264314","https://openalex.org/W1974774078","https://openalex.org/W2025666718","https://openalex.org/W2058663644","https://openalex.org/W2071284784","https://openalex.org/W2103389920","https://openalex.org/W2119667497","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2140630090","https://openalex.org/W2145096794","https://openalex.org/W2151693816","https://openalex.org/W2169326247","https://openalex.org/W2170507371","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2762625016","https://openalex.org/W4234595371","https://openalex.org/W4250955649","https://openalex.org/W6638711514"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2382972663","https://openalex.org/W2388133936","https://openalex.org/W2465351041","https://openalex.org/W2340242818","https://openalex.org/W1555738523","https://openalex.org/W4200575023","https://openalex.org/W2012574959","https://openalex.org/W2241396314","https://openalex.org/W2103001330"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1],"(CS)":[2],"can":[3],"be":[4],"applied":[5],"in":[6,73,88,109],"distributed":[7,74],"scenarios,":[8],"where":[9,164],"the":[10,29,40,48,53,62,67,80,89,94,119,129,155],"objective":[11],"is":[12,35,146,167,172],"to":[13,47,78,105,117,132],"independently":[14],"compress":[15],"several":[16],"signals":[17,54,182],"that":[18,150],"are":[19],"characterized":[20],"by":[21,60,66,98,175],"presenting":[22],"a":[23,184],"sparse":[24],"correlation.":[25],"In":[26],"this":[27],"case,":[28],"compressed":[30,49],"version":[31],"of":[32,39,51,55,69,82,111,113,154,177,180],"each":[33],"signal":[34,63,84,120],"produced":[36],"without":[37],"knowledge":[38],"other":[41],"signals.":[42],"The":[43,142,170],"decoder":[44],"has":[45],"access":[46],"versions":[50],"all":[52],"interest":[56],"and":[57],"recovers":[58],"them":[59],"exploiting":[61],"correlations.":[64],"Motivated":[65],"idea":[68],"incorporating":[70],"prior":[71,152],"information":[72,87,153,166],"CS":[75],"we":[76,127],"propose":[77],"study":[79,171],"effects":[81],"including":[83],"support":[85],"correlation":[86],"reconstruction":[90,144],"process.":[91],"We":[92],"investigate":[93],"performance":[95],"improvement":[96],"obtained":[97],"jointly":[99,133],"recovering":[100],"two":[101,135],"correlated":[102,136],"sources,":[103,156],"compared":[104],"single":[106],"source":[107,159],"recovery,":[108,126],"terms":[110],"number":[112],"samples":[114],"(measurements)":[115],"required":[116],"encode":[118],"for":[121],"successful":[122],"recovery.":[123],"To":[124],"perform":[125],"modify":[128],"OMP":[130],"algorithm":[131,145],"recover":[134],"sources":[137],"with":[138,183],"partially":[139],"disjoint":[140],"support.":[141],"final":[143],"an":[147],"iterative":[148],"process":[149],"incorporates":[151],"resembling":[157],"joint":[158],"channel":[160],"digital":[161],"coding":[162],"schemes,":[163],"probabilistic":[165,185],"iteratively":[168],"exchanged.":[169],"carried":[173],"out":[174],"means":[176],"numerical":[178],"simulations":[179],"synthetic":[181],"model.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}