{"id":"https://openalex.org/W2162711299","doi":"https://doi.org/10.1109/isit.2013.6620383","title":"Minimax universal sampling for compound multiband channels","display_name":"Minimax universal sampling for compound multiband channels","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2162711299","doi":"https://doi.org/10.1109/isit.2013.6620383","mag":"2162711299"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2013.6620383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","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/A5100416078","display_name":"Yuxin Chen","orcid":"https://orcid.org/0000-0001-9256-5815"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxin Chen","raw_affiliation_strings":["EE, Stanford University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE, Stanford University, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074116801","display_name":"Andrea Goldsmith","orcid":"https://orcid.org/0000-0001-5686-800X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea J. Goldsmith","raw_affiliation_strings":["EE, Stanford University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE, Stanford University, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["EE, Technion, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE, Technion, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7201,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76579112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"34","issue":null,"first_page":"1032","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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":0.9973000288009644,"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/undersampling","display_name":"Undersampling","score":0.8268955945968628},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.7543455362319946},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.7375502586364746},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6147685050964355},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5207386016845703},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.5110881924629211},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.5047463178634644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5034155249595642},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.491294801235199},{"id":"https://openalex.org/keywords/bandlimiting","display_name":"Bandlimiting","score":0.46940672397613525},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.4573203921318054},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44364187121391296},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4352068305015564},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.4243365228176117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4116789698600769},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.326149046421051},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3249968886375427},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3078611493110657},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.22699004411697388},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.16870993375778198},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.1459784209728241},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09262168407440186}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.8268955945968628},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.7543455362319946},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.7375502586364746},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6147685050964355},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5207386016845703},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.5110881924629211},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.5047463178634644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5034155249595642},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.491294801235199},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.46940672397613525},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.4573203921318054},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44364187121391296},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4352068305015564},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.4243365228176117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4116789698600769},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.326149046421051},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3249968886375427},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3078611493110657},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.22699004411697388},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.16870993375778198},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.1459784209728241},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09262168407440186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2013.6620383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1494099594","https://openalex.org/W1872112903","https://openalex.org/W1992292413","https://openalex.org/W1997176148","https://openalex.org/W2021567584","https://openalex.org/W2075866458","https://openalex.org/W2104274980","https://openalex.org/W2120686080","https://openalex.org/W2123629701","https://openalex.org/W2141341167","https://openalex.org/W3101515043","https://openalex.org/W3103944795","https://openalex.org/W4300840296","https://openalex.org/W6639548831"],"related_works":["https://openalex.org/W2170014524","https://openalex.org/W1421666895","https://openalex.org/W4247246397","https://openalex.org/W2148909075","https://openalex.org/W2125529598","https://openalex.org/W2154377806","https://openalex.org/W2123798204","https://openalex.org/W2143776865","https://openalex.org/W2170356637","https://openalex.org/W2089904308"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,10,18,28,60,63,98,110,115,130,142,146,158],"capacity":[4,32,101,131,168],"of":[5,17,73,145,160],"sub-sampled":[6],"analog":[7],"channels":[8],"when":[9,51,141],"sampler":[11],"is":[12,49,56],"designed":[13],"to":[14,35,58,69,104],"operate":[15],"independent":[16],"instantaneous":[19],"channel":[20,44,53,173],"realization,":[21],"and":[22,62,85,95,114,138,175],"investigates":[23],"sampling":[24,38,82,134,162],"methods":[25],"that":[26,91,122],"minimize":[27],"worst-case":[29],"(minimax)":[30],"sampled":[31,100,167],"loss":[33,102,132,169],"due":[34,103],"channel-independent":[36],"(universal)":[37],"design.":[39],"Specifically,":[40],"a":[41,70,119,180],"compound":[42],"multiband":[43],"with":[45,83,135],"unknown":[46],"subband":[47],"occupancy":[48],"considered,":[50],"perfect":[52],"side":[54],"information":[55],"available":[57],"both":[59,93],"receiver":[61],"transmitter.":[64],"We":[65,128],"restrict":[66],"our":[67],"attention":[68],"general":[71],"class":[72],"periodic":[74,136],"sub-Nyquist":[75],"samplers,":[76],"which":[77,164],"subsumes":[78],"as":[79],"special":[80],"cases":[81],"modulation":[84,137,147],"filter":[86],"banks.":[87],"Our":[88,155],"results":[89,156],"demonstrate":[90],"under":[92,133],"Landau-rate":[94],"super-Landau-rate":[96],"sampling,":[97],"minimax":[99,166],"universal":[105,181],"design":[106,182],"depends":[107],"only":[108],"on":[109],"band":[111],"sparsity":[112],"ratio":[113],"undersampling":[116],"factor,":[117],"modulo":[118],"residual":[120],"term":[121],"vanishes":[123],"at":[124],"high":[125],"signal-to-noise":[126],"ratio.":[127],"quantify":[129],"low-pass":[139],"filters,":[140],"Fourier":[143],"coefficients":[144],"waveforms":[148],"are":[149,176],"randomly":[150],"generated":[151],"(called":[152],"random":[153,161],"sampling).":[154],"highlight":[157],"power":[159],"methods,":[163],"achieve":[165],"uniformly":[170],"across":[171],"all":[172],"realizations":[174],"thus":[177],"optimal":[178],"in":[179],"sense.":[183]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}