{"id":"https://openalex.org/W2549225938","doi":"https://doi.org/10.1109/allerton.2009.5394833","title":"Compressive sensing of streams of pulses","display_name":"Compressive sensing of streams of pulses","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2549225938","doi":"https://doi.org/10.1109/allerton.2009.5394833","mag":"2549225938"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2009.5394833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2009.5394833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","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/A5066142047","display_name":"Chinmay Hegde","orcid":"https://orcid.org/0000-0003-4574-8066"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chinmay Hegde","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072713767","display_name":"Richard G. Baraniuk","orcid":"https://orcid.org/0000-0002-0721-8999"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard G. Baraniuk","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066142047"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":1.7759,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86150193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"44","last_page":"51"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7852412462234497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6578291058540344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6265919804573059},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5968618392944336},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.5609151124954224},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5496939420700073},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45655718445777893},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.44712573289871216},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.44242098927497864},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4182717502117157},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.37607765197753906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2904694080352783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25772109627723694},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1891794204711914},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14789128303527832},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.13109594583511353},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.12379986047744751}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7852412462234497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6578291058540344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265919804573059},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5968618392944336},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5609151124954224},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5496939420700073},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45655718445777893},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44712573289871216},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.44242098927497864},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4182717502117157},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.37607765197753906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2904694080352783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25772109627723694},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1891794204711914},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14789128303527832},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.13109594583511353},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.12379986047744751},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/allerton.2009.5394833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2009.5394833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.148.2155","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.2155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-dsp.rice.edu/files/publications/conference-paper/2009/compressive-acccc-2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W8251247","https://openalex.org/W658938398","https://openalex.org/W1608874367","https://openalex.org/W1986931325","https://openalex.org/W2078204800","https://openalex.org/W2111122443","https://openalex.org/W2126534699","https://openalex.org/W2127271355","https://openalex.org/W2140609183","https://openalex.org/W2145096794","https://openalex.org/W2159268085","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W3125735862","https://openalex.org/W3150180288","https://openalex.org/W4250955649","https://openalex.org/W6600350431","https://openalex.org/W6621931544","https://openalex.org/W6682936615","https://openalex.org/W6696163806","https://openalex.org/W6789470234"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W1483997978","https://openalex.org/W2611619770","https://openalex.org/W2541626582","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W4206981968","https://openalex.org/W1987102304","https://openalex.org/W4200358983"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"(CS)":[2],"has":[3],"developed":[4],"as":[5,113,213],"an":[6,96,114,169],"enticing":[7],"alternative":[8],"to":[9,130,209],"the":[10,60,73,132,146,153,161,175,197,214],"traditional":[11],"process":[12],"of":[13,63,89,111,117,125,135,148,150,152,174,199,217],"signal":[14,19,50,65,85,154,176],"acquisition.":[15],"For":[16],"a":[17,46,64,83,122],"length-N":[18],"with":[20,95],"sparsity":[21,162],"K,":[22],"merely":[23,144],"M":[24,128,178],"=":[25,164],"O(K":[26],"log":[27],"N)":[28],"\u00bf":[29],"N":[30],"random":[31,126],"linear":[32,143],"projections":[33],"(measurements)":[34],"can":[35],"be":[36],"used":[37],"for":[38,87],"robust":[39],"reconstruction":[40],"in":[41,145,160],"polynomial":[42],"time.":[43],"Sparsity":[44],"is":[45,142,207],"powerful":[47],"and":[48,70,81,158,180,186,193,203,220],"simple":[49],"model;":[51],"yet,":[52],"richer":[53],"models":[54],"that":[55,171],"impose":[56],"additional":[57],"structure":[58],"on":[59,191],"sparse":[61,84],"nonzeros":[62],"have":[66],"been":[67],"studied":[68],"theoretically":[69],"empirically":[71],"from":[72,177],"CS":[74],"perspective.":[75],"In":[76,138],"this":[77,109,136,140],"work,":[78],"we":[79,106,120,167],"introduce":[80],"study":[82],"model":[86,108,187],"streams":[88],"pulses,":[90],"i.e.,":[91],"S-sparse":[92],"signals":[93,112],"convolved":[94],"unknown":[97],"F-sparse":[98],"impulse":[99],"response.":[100],"Our":[101,205],"contributions":[102],"are":[103],"threefold:":[104],"(i)":[105],"geometrically":[107],"set":[110],"infinite":[115],"union":[116],"subspaces;":[118],"(ii)":[119],"derive":[121],"sufficient":[123],"number":[124,141,147],"measurements":[127,179],"required":[129],"preserve":[131],"metric":[133],"information":[134],"set.":[137],"particular":[139],"degrees":[149],"freedom":[151],"S":[155],"+":[156],"F,":[157],"sublinear":[159],"K":[163],"SF;":[165],"(iii)":[166],"develop":[168],"algorithm":[170],"performs":[172],"recovery":[173],"analyze":[181],"its":[182],"performance":[183],"under":[184],"noise":[185],"mismatch.":[188],"Numerical":[189],"experiments":[190],"synthetic":[192],"real":[194],"data":[195],"demonstrate":[196],"utility":[198],"our":[200],"proposed":[201],"theory":[202],"algorithm.":[204],"method":[206],"amenable":[208],"diverse":[210],"applications":[211],"such":[212],"high-resolution":[215],"sampling":[216],"neuronal":[218],"recordings":[219],"ultra-wideband":[221],"(UWB)":[222],"signals.":[223]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
