{"id":"https://openalex.org/W2940392246","doi":"https://doi.org/10.1109/icassp.2019.8683266","title":"One-bit Unlimited Sampling","display_name":"One-bit Unlimited Sampling","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2940392246","doi":"https://doi.org/10.1109/icassp.2019.8683266","mag":"2940392246"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5055926884","display_name":"Olga Graf","orcid":"https://orcid.org/0000-0002-7737-0945"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Olga Graf","raw_affiliation_strings":["Dept. of Mathematics, Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029074414","display_name":"Ayush Bhandari","orcid":"https://orcid.org/0000-0002-4485-2569"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ayush Bhandari","raw_affiliation_strings":["Dept. of Electrical and Electronic Engineering, Imperial College, London, UK"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Electronic Engineering, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090264479","display_name":"Felix Krahmer","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Krahmer","raw_affiliation_strings":["Dept. of Mathematics, Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055926884"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":2.2496,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.87386435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5102","last_page":"5106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dynamic-range","display_name":"Dynamic range","score":0.6603135466575623},{"id":"https://openalex.org/keywords/bandlimiting","display_name":"Bandlimiting","score":0.6562795042991638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514202356338501},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6074368953704834},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.5729682445526123},{"id":"https://openalex.org/keywords/companding","display_name":"Companding","score":0.5670070648193359},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.543032705783844},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5190166234970093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.509522020816803},{"id":"https://openalex.org/keywords/converters","display_name":"Converters","score":0.49548327922821045},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.4544040560722351},{"id":"https://openalex.org/keywords/modulo","display_name":"Modulo","score":0.43956080079078674},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.42235735058784485},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4111930727958679},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2897387742996216},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.22783207893371582},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.15823540091514587},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.11841735243797302},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11703276634216309},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10645440220832825},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10553982853889465},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09459534287452698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09369677305221558},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.09307190775871277}],"concepts":[{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.6603135466575623},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.6562795042991638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514202356338501},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6074368953704834},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.5729682445526123},{"id":"https://openalex.org/C104250799","wikidata":"https://www.wikidata.org/wiki/Q1780765","display_name":"Companding","level":4,"score":0.5670070648193359},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.543032705783844},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5190166234970093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.509522020816803},{"id":"https://openalex.org/C2778422915","wikidata":"https://www.wikidata.org/wiki/Q10302051","display_name":"Converters","level":3,"score":0.49548327922821045},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.4544040560722351},{"id":"https://openalex.org/C54732982","wikidata":"https://www.wikidata.org/wiki/Q1415345","display_name":"Modulo","level":2,"score":0.43956080079078674},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.42235735058784485},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4111930727958679},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2897387742996216},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.22783207893371582},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.15823540091514587},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.11841735243797302},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11703276634216309},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10645440220832825},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10553982853889465},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09459534287452698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09369677305221558},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.09307190775871277},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1524562370","https://openalex.org/W1527312120","https://openalex.org/W1672244770","https://openalex.org/W1989877067","https://openalex.org/W2011657506","https://openalex.org/W2060659343","https://openalex.org/W2075383542","https://openalex.org/W2116201158","https://openalex.org/W2140299825","https://openalex.org/W2737827235","https://openalex.org/W2798190016","https://openalex.org/W2802183119","https://openalex.org/W2838793543","https://openalex.org/W2883524234","https://openalex.org/W2886711647","https://openalex.org/W2963325605","https://openalex.org/W2963638790","https://openalex.org/W2963835727","https://openalex.org/W3105381059","https://openalex.org/W4297824910","https://openalex.org/W6678980473","https://openalex.org/W6744778258"],"related_works":["https://openalex.org/W2141622453","https://openalex.org/W2168108595","https://openalex.org/W3188944058","https://openalex.org/W1983404483","https://openalex.org/W2122502139","https://openalex.org/W2061818168","https://openalex.org/W4234463037","https://openalex.org/W4242173009","https://openalex.org/W2170356637","https://openalex.org/W3081760643"],"abstract_inverted_index":{"Conventional":[0],"analog-to-digital":[1],"converters":[2],"(ADCs)":[3],"are":[4,119],"limited":[5],"in":[6,33,65,82,94],"dynamic":[7,54,108,124],"range.":[8,55],"If":[9],"a":[10,79,136,149],"signal":[11,22],"exceeds":[12,127],"some":[13],"prefixed":[14],"threshold,":[15],"the":[16,20,44,53,66,107,122,128,152],"ADC":[17,34],"saturates":[18],"and":[19],"resulting":[21],"is":[23,61],"clipped,":[24],"thus":[25],"becoming":[26],"prone":[27],"to":[28,37],"aliasing":[29],"artifacts.":[30],"Recent":[31],"developments":[32],"design":[35],"allow":[36],"overcome":[38],"this":[39,69,75,83],"limitation:":[40],"using":[41],"modulo":[42,87,145],"operation,":[43],"so":[45],"called":[46],"self-reset":[47],"ADCs":[48],"fold":[49],"amplitudes":[50],"which":[51],"exceed":[52],"A":[56],"new":[57],"(unlimited)":[58],"sampling":[59,88],"theory":[60],"currently":[62],"being":[63],"developed":[64],"context":[67],"of":[68,72,111,130],"novel":[70],"class":[71],"ADCs.":[73],"In":[74],"paper,":[76],"we":[77],"make":[78],"further":[80],"step":[81],"direction":[84],"by":[85],"coupling":[86],"with":[89,148],"one-bit":[90,98,113,132,144],"\u03a3\u0394":[91],"quantization,":[92],"or,":[93],"other":[95],"words,":[96],"consider":[97],"unlimited":[99],"sampling.":[100],"We":[101,134],"show":[102],"that":[103],"our":[104],"scheme":[105],"overcomes":[106],"range":[109,125,129],"limitations":[110],"conventional":[112],"quantizer,":[114],"where":[115],"no":[116],"recovery":[117,138],"guarantees":[118],"possible":[120],"if":[121],"signal's":[123],"substantially":[126],"its":[131],"output.":[133],"provide":[135],"constructive":[137],"algorithm":[139],"for":[140],"bandlimited":[141],"signals":[142],"from":[143],"samples":[146],"complemented":[147],"bound":[150],"on":[151],"reconstruction":[153],"error.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}