{"id":"https://openalex.org/W2025618113","doi":"https://doi.org/10.1109/mlsp.2014.6958857","title":"Signal stochastic decomposition over continuous dictionaries","display_name":"Signal stochastic decomposition over continuous dictionaries","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2025618113","doi":"https://doi.org/10.1109/mlsp.2014.6958857","mag":"2025618113"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2014.6958857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2014.6958857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-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/A5023101745","display_name":"Zacharie Naulet","orcid":"https://orcid.org/0000-0002-0360-2731"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I4210125654","display_name":"Maison de la Simulation","ror":"https://ror.org/03jv6w209","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I195731000","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4210125654","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Zacharie Naulet","raw_affiliation_strings":["CEA, Simulation and Systems (LM2S), Gif-sur-Yvette, France","CEA, LIST, Laboratory of Modeling, Simulation and Systems (LM2S), F-91191 Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, Simulation and Systems (LM2S), Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210125654"]},{"raw_affiliation_string":"CEA, LIST, Laboratory of Modeling, Simulation and Systems (LM2S), F-91191 Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861","https://openalex.org/I4210125654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022637848","display_name":"\u00c9ric Barat","orcid":"https://orcid.org/0000-0003-1113-5245"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I4210125654","display_name":"Maison de la Simulation","ror":"https://ror.org/03jv6w209","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I195731000","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4210125654","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Barat","raw_affiliation_strings":["CEA, Simulation and Systems (LM2S), Gif-sur-Yvette, France","CEA, LIST, Laboratory of Modeling, Simulation and Systems (LM2S), F-91191 Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, Simulation and Systems (LM2S), Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210125654"]},{"raw_affiliation_string":"CEA, LIST, Laboratory of Modeling, Simulation and Systems (LM2S), F-91191 Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861","https://openalex.org/I4210125654"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08903846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.9886000156402588,"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":0.9886000156402588,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9850000143051147,"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/computer-science","display_name":"Computer science","score":0.632079005241394},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5969745516777039},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5950865745544434},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5896900296211243},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5406391620635986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5286054015159607},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4911658465862274},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.46780943870544434},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4160902500152588},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4097871780395508},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30736613273620605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2889085114002228},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12214270234107971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632079005241394},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5969745516777039},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5950865745544434},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5896900296211243},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5406391620635986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5286054015159607},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4911658465862274},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.46780943870544434},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4160902500152588},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4097871780395508},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30736613273620605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2889085114002228},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12214270234107971},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mlsp.2014.6958857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2014.6958857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:cea-01830639v1","is_oa":false,"landing_page_url":"https://cea.hal.science/cea-01830639","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/6958857","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W24034656","https://openalex.org/W1605417594","https://openalex.org/W1654995442","https://openalex.org/W1969508365","https://openalex.org/W1970684339","https://openalex.org/W1998630480","https://openalex.org/W2023765510","https://openalex.org/W2048902104","https://openalex.org/W2072169887","https://openalex.org/W2079523859","https://openalex.org/W2080972498","https://openalex.org/W2109614047","https://openalex.org/W2151693816","https://openalex.org/W2162822231","https://openalex.org/W2895591481","https://openalex.org/W3100513376","https://openalex.org/W3106230097","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W2191886813","https://openalex.org/W1986317414","https://openalex.org/W2163394011","https://openalex.org/W2795976185","https://openalex.org/W2353606679"],"abstract_inverted_index":{"We":[0,34],"propose":[1],"a":[2,20,38],"Bayesian":[3],"nonparametrics":[4],"method,":[5],"including":[6],"algorithm":[7],"for":[8,11],"posterior":[9],"computation,":[10],"the":[12,32,47,54],"sparse":[13],"regression":[14],"problem.":[15],"Our":[16],"method":[17],"applies":[18],"in":[19],"general":[21],"setting,":[22],"when":[23],"there":[24],"are":[25],"direct":[26],"or":[27],"indirect":[28],"noisy":[29],"observations":[30],"of":[31,46,58],"signal.":[33],"try":[35],"to":[36],"make":[37],"wide":[39],"focus":[40],"on":[41],"smoothness":[42],"properties":[43],"and":[44],"sparsity":[45],"approximate.":[48],"As":[49],"an":[50],"example,":[51],"we":[52],"consider":[53],"ill-posed":[55],"inverse":[56],"problem":[57],"Quantum":[59],"Homodyne":[60],"Tomography.":[61]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}