{"id":"https://openalex.org/W1969179117","doi":"https://doi.org/10.1109/tit.2010.2090194","title":"High-Resolution Distributed Sampling of Bandlimited Fields With Low-Precision Sensors","display_name":"High-Resolution Distributed Sampling of Bandlimited Fields With Low-Precision Sensors","publication_year":2010,"publication_date":"2010-12-29","ids":{"openalex":"https://openalex.org/W1969179117","doi":"https://doi.org/10.1109/tit.2010.2090194","mag":"1969179117"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2010.2090194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2010.2090194","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/0707.1063","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Animesh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Animesh Kumar","raw_affiliation_strings":["Electrical Engineering Department, IIT Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, IIT Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Prakash Ishwar","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prakash Ishwar","raw_affiliation_strings":["Electrical and Computer Engineering Department, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kannan Ramchandran","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kannan Ramchandran","raw_affiliation_strings":["Electrical Engineering and Computer Sciences Department, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Sciences Department, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":3.078,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90902547,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"57","issue":"1","first_page":"476","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.4472000002861023,"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":0.4472000002861023,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.14959999918937683,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.05739999935030937,"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/bandlimiting","display_name":"Bandlimiting","score":0.9100000262260437},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.807200014591217},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.7784000039100647},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5979999899864197},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42089998722076416},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.4025999903678894},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.3993000090122223},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.3824999928474426},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.367900013923645}],"concepts":[{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.9100000262260437},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.807200014591217},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.7784000039100647},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5979999899864197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5572999715805054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5547000169754028},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42089998722076416},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3905999958515167},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.367900013923645},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3285999894142151},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.30149999260902405},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2870999872684479},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2815000116825104},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tit.2010.2090194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2010.2090194","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:0707.1063","is_oa":true,"landing_page_url":"http://arxiv.org/abs/0707.1063","pdf_url":"https://arxiv.org/pdf/0707.1063","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:0707.1063","is_oa":true,"landing_page_url":"http://arxiv.org/abs/0707.1063","pdf_url":"https://arxiv.org/pdf/0707.1063","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1969179117","https://openalex.org/W1979391654","https://openalex.org/W1982491809","https://openalex.org/W2002076319","https://openalex.org/W2004307093","https://openalex.org/W2021083313","https://openalex.org/W2025091773","https://openalex.org/W2032102175","https://openalex.org/W2066721861","https://openalex.org/W2094042723","https://openalex.org/W2099111195","https://openalex.org/W2099213070","https://openalex.org/W2100205120","https://openalex.org/W2109723858","https://openalex.org/W2114793861","https://openalex.org/W2116967254","https://openalex.org/W2118934672","https://openalex.org/W2124895586","https://openalex.org/W2127819109","https://openalex.org/W2130528435","https://openalex.org/W2133489575","https://openalex.org/W2135843229","https://openalex.org/W2138256990","https://openalex.org/W2141619501","https://openalex.org/W2141976680","https://openalex.org/W2152446998","https://openalex.org/W2280940837","https://openalex.org/W4254197176","https://openalex.org/W4388315674","https://openalex.org/W6632229531"],"related_works":[],"abstract_inverted_index":{"The":[0,68],"problem":[1],"of":[2,7,37,70,95,108],"sampling":[3],"a":[4,12,17,34,72],"discrete-time":[5],"sequence":[6],"spatially":[8],"bandlimited":[9],"fields,":[10,60],"with":[11],"bounded":[13],"dynamic":[14],"range,":[15],"in":[16,64,92,131],"distributed,":[18],"communication-constrained":[19],"processing":[20],"environment":[21],"is":[22,40,101],"studied.":[23],"A":[24],"central":[25],"unit":[26],"having":[27,71],"access":[28],"to":[29,42,47],"the":[30,44,65,76,82,93,111,123,139],"data":[31],"gathered":[32],"by":[33],"dense":[35],"network":[36],"low-precision":[38],"sensors,":[39],"required":[41],"reconstruct":[43],"field":[45,54],"snapshots":[46],"maximum":[48],"accuracy.":[49],"Both":[50],"deterministic":[51],"and":[52,81,127],"stochastic":[53,59],"models":[55],"are":[56,62],"considered.":[57],"For":[58],"results":[61],"established":[63],"almost-sure":[66],"sense.":[67],"feasibility":[69],"flexible":[73],"tradeoff":[74],"between":[75],"oversampling":[77],"rate":[78],"(sensor":[79,129],"density)":[80,130],"analog-to-digital":[83],"converter":[84],"(ADC)":[85],"precision,":[86],"while":[87,137],"achieving":[88],"an":[89,105,132],"exponential":[90],"accuracy":[91],"number":[94],"bits":[96],"per":[97,99,113,115],"Nyquist-interval":[98,114],"snapshot":[100,116],"demonstrated.":[102],"This":[103],"exposes":[104],"underlying":[106],"\u201cconservation":[107],"bits\u201d":[109],"principle:":[110],"bit-budget":[112],"(the":[117],"rate)":[118],"can":[119],"be":[120],"distributed":[121],"along":[122],"amplitude":[124],"axis":[125],"(sensor-precision)":[126],"space":[128],"almost":[133],"arbitrary":[134],"discrete-valued":[135],"manner,":[136],"retaining":[138],"same":[140],"(exponential)":[141],"distortion-rate":[142],"characteristics.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}