{"id":"https://openalex.org/W4321484022","doi":"https://doi.org/10.1109/tsp.2022.3200552","title":"Minimum-Rate Spectrum-Blind Sampling Based on Sparse-Graph Codes","display_name":"Minimum-Rate Spectrum-Blind Sampling Based on Sparse-Graph Codes","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321484022","doi":"https://doi.org/10.1109/tsp.2022.3200552"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3200552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3200552","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-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/A5025069529","display_name":"Orhan \u00d6\u00e7al","orcid":"https://orcid.org/0000-0003-3835-283X"},"institutions":[{"id":"https://openalex.org/I91036609","display_name":"Citadel","ror":"https://ror.org/01vwr6t80","country_code":"US","type":"education","lineage":["https://openalex.org/I91036609"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Orhan \u00d6\u00e7al","raw_affiliation_strings":["Citadel Securities, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Citadel Securities, Chicago, IL, USA","institution_ids":["https://openalex.org/I91036609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053049612","display_name":"Swanand Kadhe","orcid":"https://orcid.org/0000-0003-2006-1030"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swanand Kadhe","raw_affiliation_strings":["IBM Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375264","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0001-9660-9053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Li","raw_affiliation_strings":["Stripe, Inc., New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stripe, Inc., New York, NY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030620564","display_name":"Kannan Ramchandran","orcid":"https://orcid.org/0000-0002-4567-328X"},"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":["Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025069529"],"corresponding_institution_ids":["https://openalex.org/I91036609"],"apc_list":null,"apc_paid":null,"fwci":0.1303,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39456631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"71","issue":null,"first_page":"587","last_page":"600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.5917292237281799},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4925587773323059},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.44090554118156433},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43389081954956055},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.431735098361969},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.41353291273117065},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3007014989852905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09401798248291016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917292237281799},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4925587773323059},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.44090554118156433},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43389081954956055},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.431735098361969},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.41353291273117065},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3007014989852905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09401798248291016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2022.3200552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3200552","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1536930200","https://openalex.org/W1971402995","https://openalex.org/W1980300788","https://openalex.org/W1989970939","https://openalex.org/W1991215696","https://openalex.org/W1993784401","https://openalex.org/W1996692478","https://openalex.org/W2114129195","https://openalex.org/W2119667497","https://openalex.org/W2123629701","https://openalex.org/W2128765501","https://openalex.org/W2129918728","https://openalex.org/W2143168132","https://openalex.org/W2158537680","https://openalex.org/W2166500461","https://openalex.org/W2167863042","https://openalex.org/W2169732368","https://openalex.org/W2402170615","https://openalex.org/W2752855532","https://openalex.org/W2963597653","https://openalex.org/W4238744307","https://openalex.org/W4250955649","https://openalex.org/W4252713891"],"related_works":["https://openalex.org/W4298831272","https://openalex.org/W2489956408","https://openalex.org/W2037989911","https://openalex.org/W349256592","https://openalex.org/W2086694237","https://openalex.org/W4213307346","https://openalex.org/W2158224665","https://openalex.org/W2068210614","https://openalex.org/W2130372067","https://openalex.org/W2379589510"],"abstract_inverted_index":{"We":[0,60,89,140,174,193],"study":[1],"the":[2,35,55,85,94,116,129,145,160,167,177,186,197,204,209,213,224,236,263],"problem":[3,95],"of":[4,28,37,57,87,96,101,125,131,170,190,208,226,256],"<italic":[5,64,73,135,205,232,259],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[6,65,74,136,206,233,260],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">spectrum-blind</i>":[7],"sampling,":[8,98],"that":[9,44,100,176,196],"is,":[10],"sampling":[11,23,67,199,238,242,264],"signals":[12,29],"with":[13,252,262],"sparse":[14,107],"spectra":[15],"whose":[16],"frequency":[17,39],"support":[18],"is":[19,112,183,201],"unknown.":[20],"The":[21],"minimum":[22,47,237],"rate":[24,48,200,239],"for":[25,134,240],"this":[26,46,142,181],"class":[27],"has":[30,80],"been":[31,81],"established":[32],"as":[33],"twice":[34],"measure":[36],"its":[38],"support;":[40],"however,":[41],"constructive":[42],"schemes":[43],"achieve":[45,141],"are":[49,163],"not":[50],"known":[51],"to":[52,54,113,165,185],"exist,":[53],"best":[56],"our":[58],"knowledge.":[59],"propose":[61],"a":[62,152,171,217],"novel":[63],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">constructive</i>":[66],"framework":[68],"by":[69,120,143,203],"leveraging":[70],"tools":[71],"from":[72,223],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">modern":[75],"coding":[76],"theory</i>":[77],",":[78],"which":[79],"largely":[82],"untapped":[83],"in":[84,128,212],"field":[86],"sampling.":[88],"make":[90],"interesting":[91],"connections":[92],"between":[93],"spectrum-blind":[97,241],"and":[99,243],"designing":[102],"erasure-correcting":[103],"codes":[104,210],"based":[105,219,247],"on":[106,220,248],"graphs.":[108],"Our":[109],"key":[110],"idea":[111],"cleverly":[114],"exploit":[115],"aliasing":[117],"artifacts":[118],"induced":[119],"subsampling,":[121],"introducing":[122],"linear":[123],"mixing":[124],"spectral":[126],"components":[127],"form":[130],"parity":[132],"constraints":[133,169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">sparse-graph":[137],"codes</i>":[138],".":[139],"subsampling":[144],"input":[146],"signal":[147,178],"after":[148],"filtering":[149],"it":[150],"using":[151],"carefully":[153],"designed":[154,164],"\u2018sparse-graph":[155],"coded":[156],"filter":[157,214],"bank\u2019,":[158],"where":[159],"pass-band":[161],"patterns":[162],"match":[166],"parity-check":[168],"sparse-graph":[172,191,228],"code.":[173],"show":[175,195],"reconstruction":[179],"under":[180],"scheme":[182],"equivalent":[184],"fast":[187,249],"\u201cpeeling\u201c":[188],"decoding":[189,251],"codes.":[192],"further":[194],"achievable":[198],"determined":[202],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">rate</i>":[207],"used":[211],"bank.":[215],"As":[216],"result,":[218],"insights":[221],"derived":[222],"design":[225],"capacity-achieving":[227],"codes,":[229],"we":[230],"can":[231],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">simultaneously</i>":[234],"approach":[235],"low":[244],"computational":[245],"complexity":[246],"peeling-based":[250],"operations":[253],"per":[254],"unit":[255],"time":[257],"scaling":[258],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">linearly</i>":[261],"rate.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}