{"id":"https://openalex.org/W4289713091","doi":"https://doi.org/10.1109/isit50566.2022.9834417","title":"Universal 1-Bit Compressive Sensing for Bounded Dynamic Range Signals","display_name":"Universal 1-Bit Compressive Sensing for Bounded Dynamic Range Signals","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289713091","doi":"https://doi.org/10.1109/isit50566.2022.9834417"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834417","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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/A5009355339","display_name":"Sidhant Bansal","orcid":"https://orcid.org/0009-0008-7163-3952"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Sidhant Bansal","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102919901","display_name":"Arnab Bhattacharyya","orcid":"https://orcid.org/0000-0002-3648-5957"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Arnab Bhattacharyya","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045318419","display_name":"Anamay Chaturvedi","orcid":null},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Anamay Chaturvedi","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046337437","display_name":"Jonathan Scarlett","orcid":"https://orcid.org/0000-0003-1403-9160"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jonathan Scarlett","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009355339"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.6197,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75731198,"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":"3280","last_page":"3284"},"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":0.9987000226974487,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9983999729156494,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7392498254776001},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6632744073867798},{"id":"https://openalex.org/keywords/omega","display_name":"Omega","score":0.6076924800872803},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5975255370140076},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5477296113967896},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4956308603286743},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4934786558151245},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.47990429401397705},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4491897225379944},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.43590760231018066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4310576319694519},{"id":"https://openalex.org/keywords/binary-logarithm","display_name":"Binary logarithm","score":0.42169275879859924},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.41186216473579407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4054147005081177},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.30321192741394043},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2173120379447937},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.11519050598144531},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10092297196388245}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7392498254776001},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6632744073867798},{"id":"https://openalex.org/C2779557605","wikidata":"https://www.wikidata.org/wiki/Q9890","display_name":"Omega","level":2,"score":0.6076924800872803},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5975255370140076},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5477296113967896},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4956308603286743},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4934786558151245},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.47990429401397705},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4491897225379944},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.43590760231018066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4310576319694519},{"id":"https://openalex.org/C63553672","wikidata":"https://www.wikidata.org/wiki/Q581168","display_name":"Binary logarithm","level":2,"score":0.42169275879859924},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.41186216473579407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4054147005081177},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.30321192741394043},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2173120379447937},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.11519050598144531},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10092297196388245},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834417","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W182164380","https://openalex.org/W1523985187","https://openalex.org/W1544735579","https://openalex.org/W2035175249","https://openalex.org/W2060430274","https://openalex.org/W2061086244","https://openalex.org/W2092271237","https://openalex.org/W2101627389","https://openalex.org/W2112038498","https://openalex.org/W2137990311","https://openalex.org/W2141556672","https://openalex.org/W2186174268","https://openalex.org/W2510244936","https://openalex.org/W2912457157","https://openalex.org/W2963401889","https://openalex.org/W2964322027","https://openalex.org/W2982634139","https://openalex.org/W3128839604","https://openalex.org/W3185649579","https://openalex.org/W3208154528","https://openalex.org/W4289713091","https://openalex.org/W6607403468","https://openalex.org/W6686756991","https://openalex.org/W6767352173","https://openalex.org/W6790349238","https://openalex.org/W6799298882"],"related_works":["https://openalex.org/W4402427056","https://openalex.org/W238609530","https://openalex.org/W2158224665","https://openalex.org/W2734192830","https://openalex.org/W2379589510","https://openalex.org/W3016395638","https://openalex.org/W1636163329","https://openalex.org/W3127082728","https://openalex.org/W2067936666","https://openalex.org/W4367665025"],"abstract_inverted_index":{"A":[0,12],"universal":[1,50],"1-bit":[2,31,54,147],"compressive":[3],"sensing":[4],"(CS)":[5],"scheme":[6],"consists":[7],"of":[8,41,59,116,127,139,156,164,170,178],"a":[9,21,67],"measurement":[10,118],"matrix":[11,119],"such":[13],"that":[14,112],"for":[15,53,161],"all":[16],"signals":[17,61,141],"x":[18,24,69],"belonging":[19],"to":[20,76,130,135,166,191],"particular":[22],"class,":[23],"can":[25],"be":[26,131],"approximately":[27],"recovered":[28],"from":[29],"sign(Ax).":[30],"CS":[32,55],"models":[33],"extreme":[34],"quantization":[35],"effects":[36],"where":[37],"only":[38],"one":[39],"bit":[40],"information":[42],"is":[43,74,102],"revealed":[44],"per":[45],"measurement.":[46],"We":[47],"focus":[48],"on":[49],"support":[51,138,169],"recovery":[52],"in":[56,106,187],"the":[57,93,114,117,125,137,152,162,168],"case":[58],"sparse":[60],"with":[62,142,151],"bounded":[63],"dynamic":[64,89,143],"range.":[65],"Specifically,":[66],"vector":[68],"\u2208\u211d":[70],"<sup":[71],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[72],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</sup>":[73],"said":[75],"have":[77],"sparsity":[78],"k":[79,85],"if":[80,92,113],"it":[81],"has":[82],"at":[83,103],"most":[84,104],"nonzero":[86,100],"entries":[87,101,115],"and":[88,98],"range":[90,144],"R":[91,105,145],"ratio":[94],"between":[95],"its":[96],"largest":[97],"smallest":[99],"magnitude.":[107],"Our":[108],"main":[109],"result":[110],"shows":[111],"Ax":[120],"are":[121],"i.i.d.":[122],"Gaussians,":[123],"then":[124],"number":[126,163],"measurements":[128,165],"needs":[129],"${{\\tilde":[132,157],"\\Omega":[133,158],"}}\\left({R{k^{3/2}}}\\right)$":[134],"recover":[136,167],"k-sparse":[140,172],"using":[146],"CS.":[148],"This":[149],"contrasts":[150],"known":[153],"lower":[154,181],"bound":[155],"}}\\left({{k^2}\\log":[159],"n}\\right)$":[160],"arbitrary":[171],"signals.":[173],"In":[174],"broad":[175],"scaling":[176],"regimes":[177],"interest,":[179],"our":[180],"bounds":[182,185],"match":[183],"upper":[184],"implicit":[186],"prior":[188],"works":[189],"up":[190],"logarithmic":[192],"factors.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}