{"id":"https://openalex.org/W1492103838","doi":"https://doi.org/10.1109/icassp.2015.7179117","title":"Sparsity pattern recovery using FRI methods","display_name":"Sparsity pattern recovery using FRI methods","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1492103838","doi":"https://doi.org/10.1109/icassp.2015.7179117","mag":"1492103838"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7179117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7179117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5024705322","display_name":"Jon O\u00f1ativia","orcid":"https://orcid.org/0000-0002-8363-1355"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jon Onativia","raw_affiliation_strings":["Imperial College London, Communications and Signal Processing Group (CSP), UK","Communications and Signal Processing Group (CSP), Imperial College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, Communications and Signal Processing Group (CSP), UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Communications and Signal Processing Group (CSP), Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038111389","display_name":"Yue M. Lu","orcid":"https://orcid.org/0000-0002-5174-2595"},"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":"Yue M. Lu","raw_affiliation_strings":["Signals, Information, and Networks Group (SING), Harvard University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signals, Information, and Networks Group (SING), Harvard University, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053203917","display_name":"Pier Luigi Dragotti","orcid":"https://orcid.org/0000-0002-6073-2807"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pier Luigi Dragotti","raw_affiliation_strings":["Imperial College London, Communications and Signal Processing Group (CSP), UK","Communications and Signal Processing Group (CSP), Imperial College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, Communications and Signal Processing Group (CSP), UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Communications and Signal Processing Group (CSP), Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5739,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59517426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"52","issue":null,"first_page":"5967","last_page":"5971"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9979000091552734,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6794425249099731},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.6124293804168701},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5526340007781982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5328308343887329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4967496991157532},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4717455804347992},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.45852839946746826},{"id":"https://openalex.org/keywords/haar","display_name":"Haar","score":0.446189284324646},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4394966661930084},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4294793903827667},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4251718819141388},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4220188558101654},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3654695153236389},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3496147096157074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2673138380050659},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19573771953582764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18475139141082764},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.1812705397605896}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6794425249099731},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.6124293804168701},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5526340007781982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5328308343887329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4967496991157532},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4717455804347992},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.45852839946746826},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.446189284324646},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4394966661930084},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4294793903827667},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4251718819141388},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4220188558101654},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3654695153236389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3496147096157074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2673138380050659},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19573771953582764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18475139141082764},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.1812705397605896},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2015.7179117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7179117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:dsp.tecnalia.com:11556/8116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ICASSP.2015.7179117","pdf_url":null,"source":{"id":"https://openalex.org/S4306402037","display_name":"TECNALIA Publications (Fundaci\u00f3n TECNALIA Research & Innovation)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210113430","host_organization_name":"Tecnalia","host_organization_lineage":["https://openalex.org/I4210113430"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1591116419","https://openalex.org/W1986931325","https://openalex.org/W2002663556","https://openalex.org/W2014381155","https://openalex.org/W2028663254","https://openalex.org/W2029740707","https://openalex.org/W2052867250","https://openalex.org/W2069029246","https://openalex.org/W2096960845","https://openalex.org/W2097323375","https://openalex.org/W2097883065","https://openalex.org/W2099641086","https://openalex.org/W2103300762","https://openalex.org/W2108634960","https://openalex.org/W2129638195","https://openalex.org/W2135631911","https://openalex.org/W2138787877","https://openalex.org/W2145096794","https://openalex.org/W2149213383","https://openalex.org/W2158537680","https://openalex.org/W2160547390","https://openalex.org/W2166493798","https://openalex.org/W2167839759","https://openalex.org/W2296616510","https://openalex.org/W4235713725","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W571281153","https://openalex.org/W2949403936","https://openalex.org/W3023806604","https://openalex.org/W2952139525","https://openalex.org/W4301247218","https://openalex.org/W2129818458","https://openalex.org/W4243074410","https://openalex.org/W4289551052","https://openalex.org/W2340777379","https://openalex.org/W2055682261"],"abstract_inverted_index":{"The":[0,36],"problem":[1,51],"of":[2,7,14,39,93,101,113,119,122,134,138,163,166,173,183],"finding":[3,80],"the":[4,17,49,75,82,88,91,99,111,117,120,135,139,150,161,164,171,184],"sparse":[5,72,84,97],"representation":[6],"a":[8,12,32,155,188],"signal":[9],"has":[10],"attracted":[11],"lot":[13],"attention":[15],"over":[16,149],"past":[18],"years.":[19],"In":[20,106],"particular,":[21],"uniqueness":[22,76],"conditions":[23],"and":[24,103,124,153,177],"reconstruction":[25],"algorithms":[26,186],"have":[27,64],"been":[28],"established":[29],"by":[30],"relaxing":[31],"non-convex":[33],"optimisation":[34],"problem.":[35],"finite":[37],"rate":[38],"innovation":[40],"(FRI)":[41],"theory":[42],"is":[43,68],"an":[44,129,144],"alternative":[45],"approach":[46,176],"that":[47,66,78,86,131,146,179],"solves":[48],"sparsity":[50],"using":[52],"algebraic":[53],"methods":[54,115],"based":[55],"around":[56],"Prony's":[57],"algorithm.":[58],"Recent":[59],"extensions":[60],"to":[61,70,116,142],"this":[62,107,174],"framework":[63],"shown":[65],"it":[67,180],"possible":[69,83],"recover":[71],"representations":[73,85],"beyond":[74],"limits,":[77],"is,":[79],"all":[81],"fit":[87],"observation":[89],"for":[90],"case":[92,118,162],"signals":[94],"which":[95],"are":[96],"in":[98,154,187],"union":[100,121,165],"Fourier":[102],"canonical":[104],"bases.":[105],"paper,":[108],"we":[109],"show":[110,178],"application":[112],"such":[114],"DCT":[123],"Haar":[125],"basis.":[126],"We":[127,158],"present":[128],"extension":[130],"takes":[132],"advantage":[133],"even":[136],"symmetry":[137],"cosine":[140],"functions":[141],"build":[143],"algorithm":[145],"can":[147],"operate":[148],"observed":[151],"vector":[152],"dual":[156],"domain.":[157],"also":[159],"analyse":[160],"frames.":[167],"Simulation":[168],"results":[169],"confirm":[170],"validity":[172],"new":[175],"outperforms":[181],"state":[182],"art":[185],"number":[189],"scenarios.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}