{"id":"https://openalex.org/W2159931081","doi":"https://doi.org/10.1109/milcom.2011.6127545","title":"Measurement combining and progressive reconstruction in compressive sensing","display_name":"Measurement combining and progressive reconstruction in compressive sensing","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2159931081","doi":"https://doi.org/10.1109/milcom.2011.6127545","mag":"2159931081"},"language":"en","primary_location":{"id":"doi:10.1109/milcom.2011.6127545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2011.6127545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 - MILCOM 2011 Military Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:10021422","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062346614","display_name":"Hsieh-Chung Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hsieh-Chung Chen","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066867900","display_name":"H. T. Kung","orcid":"https://orcid.org/0000-0002-3348-3788"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. T. Kung","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042612473","display_name":"Dario Vlah","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dario Vlah","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081962525","display_name":"Bruce W. Suter","orcid":null},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Suter","raw_affiliation_strings":["Air Force Research Laboratory, Rome, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory, Rome, NY, USA","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1006,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8773095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"168"},"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":0.9994999766349792,"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/compressed-sensing","display_name":"Compressed sensing","score":0.9358807802200317},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8590821027755737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6934682726860046},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6614254713058472},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6021813154220581},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.531554639339447},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.517537534236908},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.4851723313331604},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.43716612458229065},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3545784056186676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.321212500333786},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.316648006439209},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.3050593137741089},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.26031947135925293},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15609434247016907}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.9358807802200317},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8590821027755737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934682726860046},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6614254713058472},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6021813154220581},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.531554639339447},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.517537534236908},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.4851723313331604},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.43716612458229065},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3545784056186676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.321212500333786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.316648006439209},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3050593137741089},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26031947135925293},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15609434247016907},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/milcom.2011.6127545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2011.6127545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 - MILCOM 2011 Military Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.299.24","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.24","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.harvard.edu/~htk/publication/2011-milcom-chen-kung-vlah-suter.pdf","raw_type":"text"},{"id":"pmh:oai:dash.harvard.edu:1/10021422","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:10021422","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Monograph or Book"}],"best_oa_location":{"id":"pmh:oai:dash.harvard.edu:1/10021422","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:10021422","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Monograph or Book"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1979081374","https://openalex.org/W2095978736","https://openalex.org/W2107165421","https://openalex.org/W2107861471","https://openalex.org/W2129131372","https://openalex.org/W2141755618","https://openalex.org/W2147682803","https://openalex.org/W2168745297","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2379468505","https://openalex.org/W2071548530","https://openalex.org/W4387870235","https://openalex.org/W2210983845","https://openalex.org/W2154003813","https://openalex.org/W2054047433","https://openalex.org/W4399145551","https://openalex.org/W3142184949","https://openalex.org/W3001645640","https://openalex.org/W2468414543"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"has":[2],"emerged":[3],"as":[4],"an":[5,120],"important":[6],"new":[7],"technique":[8],"in":[9,139,142,148],"signal":[10,20,125,164],"acquisition":[11],"due":[12],"to":[13,80,118,122,162],"the":[14,41,48,56,62,67,123,143,159,163,175,179],"surprising":[15],"property":[16],"that":[17,108,158],"a":[18,28,78,94,140,152],"sparse":[19],"can":[21,58,70,90,165],"be":[22,59,71],"captured":[23],"from":[24,83,126],"measurements":[25,53,82,128],"obtained":[26],"at":[27],"sub-Nyquist":[29],"rate.":[30],"The":[31],"decoding":[32,149,154],"cost":[33,64],"of":[34,51,145],"compressive":[35,52],"sensing,":[36],"however,":[37],"grows":[38],"superlinearly":[39],"with":[40,187],"problem":[42],"size.":[43],"In":[44,73],"distributed":[45,84],"sensor":[46],"systems,":[47],"aggregate":[49],"amount":[50],"encoded":[54],"by":[55],"sensors":[57],"substantial,":[60],"and":[61,92,112,150,178,183],"decode":[63],"for":[65,103,170,190],"all":[66,104],"variables":[68,146],"involved":[69],"large.":[72],"this":[74],"paper":[75],"we":[76,89,184],"propose":[77],"method":[79,88],"combine":[81],"sensors.":[85,105,136],"With":[86],"our":[87],"transport":[91],"store":[93],"single":[95],"combined":[96,127],"measurement":[97],"set,":[98],"rather":[99],"than":[100],"multiple":[101],"sets":[102],"We":[106,156,173],"show":[107,157],"via":[109],"source":[110],"separation":[111],"joint":[113],"decoding,":[114],"it":[115],"is":[116],"possible":[117],"recover":[119],"approximate":[121],"original":[124],"using":[129],"progressive":[130,181],"reconstruction":[131],"which":[132],"focuses":[133],"on":[134],"individual":[135],"This":[137],"results":[138],"reduction":[141],"number":[144],"used":[147],"consequently":[151],"reduced":[153],"time.":[155],"computed":[160],"approximation":[161],"still":[166],"have":[167],"sufficient":[168],"accuracy":[169],"target":[171,192],"detection.":[172],"describe":[174],"combining":[176],"approach":[177],"associated":[180],"reconstruction,":[182],"illustrate":[185],"them":[186],"image":[188],"recovery":[189],"simple":[191],"detection":[193],"examples.":[194]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
