{"id":"https://openalex.org/W2112085580","doi":"https://doi.org/10.1109/isit.2009.5205669","title":"Conditions for recovery of sparse signals correlated by local transforms","display_name":"Conditions for recovery of sparse signals correlated by local transforms","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2112085580","doi":"https://doi.org/10.1109/isit.2009.5205669","mag":"2112085580"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2009.5205669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2009.5205669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/130364","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067039588","display_name":"Ivana To\u0161i\u0107","orcid":"https://orcid.org/0000-0002-7259-8828"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Ivana Tosic","raw_affiliation_strings":["Signal Processing Laboratory (LTS4), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","Signal Processing Laboratory (LTS4), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 - Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory (LTS4), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Signal Processing Laboratory (LTS4), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 - Switzerland#TAB#","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000947076","display_name":"Pascal Frossard","orcid":"https://orcid.org/0000-0002-4010-714X"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pascal Frossard","raw_affiliation_strings":["Signal Processing Laboratory (LTS4), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","Signal Processing Laboratory (LTS4), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 - Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory (LTS4), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Signal Processing Laboratory (LTS4), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 - Switzerland#TAB#","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067039588"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.0636,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79246278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"684","last_page":"688"},"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/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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/thresholding","display_name":"Thresholding","score":0.9014248847961426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6738333702087402},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.6365417838096619},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.625666618347168},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6132596135139465},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5135746002197266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5035471320152283},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4631831645965576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45640671253204346},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.435916543006897},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.41686296463012695},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4154275059700012},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35325106978416443},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16006961464881897},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.09030270576477051}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.9014248847961426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6738333702087402},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.6365417838096619},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.625666618347168},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6132596135139465},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5135746002197266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5035471320152283},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4631831645965576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45640671253204346},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.435916543006897},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.41686296463012695},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4154275059700012},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35325106978416443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16006961464881897},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.09030270576477051},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2009.5205669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2009.5205669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:130364","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/130364","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:130364","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/130364","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2080709627","https://openalex.org/W2086413318","https://openalex.org/W2106407813","https://openalex.org/W2116148865","https://openalex.org/W2125026062","https://openalex.org/W2137277750","https://openalex.org/W6675759034"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W2136676913","https://openalex.org/W2465351041","https://openalex.org/W2308961925","https://openalex.org/W2601968125","https://openalex.org/W2105702309","https://openalex.org/W2103221199"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,18,24,44,50,56,67,70,78,82,93,119],"problem":[4],"of":[5,8,37,58,66,73,85,92,118],"correct":[6,83],"recovery":[7,84,121],"multiple":[9,21,94],"sparse":[10,39,52,71],"correlated":[11,33,87],"signals":[12,30,45,88],"using":[13,89],"distributed":[14],"thresholding.":[15],"We":[16,76],"consider":[17],"scenario":[19],"where":[20,102],"sensors":[22],"capture":[23],"same":[25,51],"event,":[26],"but":[27,54],"observe":[28],"different":[29],"that":[31],"are":[32],"by":[34,125],"local":[35,64],"transforms":[36,65],"their":[38],"components.":[40],"In":[41],"this":[42],"context,":[43],"do":[46],"not":[47],"necessarily":[48],"have":[49],"support,":[53],"instead":[55],"support":[57,72],"one":[59],"signal":[60],"is":[61,98,109,123],"built":[62],"on":[63],"atoms":[68],"in":[69,100,113,128],"another":[74],"signal.":[75],"establish":[77],"sufficient":[79],"condition":[80,97,122],"for":[81,111],"such":[86,106],"independent":[90],"thresholding":[91,108],"signals.":[95],"The":[96,116],"relevant":[99],"scenarios":[101],"low":[103],"complexity":[104],"processing":[105],"as":[107],"needed,":[110],"example":[112],"sensor":[114],"networks.":[115],"validity":[117],"derived":[120],"confirmed":[124],"experimental":[126],"results":[127],"noiseless":[129],"and":[130],"noisy":[131],"scenarios.":[132]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
