{"id":"https://openalex.org/W3162265782","doi":"https://doi.org/10.1109/icassp39728.2021.9414152","title":"Event-Driven Modulo Sampling","display_name":"Event-Driven Modulo Sampling","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3162265782","doi":"https://doi.org/10.1109/icassp39728.2021.9414152","mag":"3162265782"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 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/A5036367852","display_name":"Dorian Florescu","orcid":"https://orcid.org/0000-0002-1169-674X"},"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":true,"raw_author_name":"Dorian Florescu","raw_affiliation_strings":["Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","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":["Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","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":["Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036367852"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":1.6494,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8343643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5435","last_page":"5439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modulo","display_name":"Modulo","score":0.8711671829223633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6871137619018555},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6614724397659302},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6539943218231201},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6332831382751465},{"id":"https://openalex.org/keywords/linearity","display_name":"Linearity","score":0.598511815071106},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.550086259841919},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5319438576698303},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5234412550926208},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5090824961662292},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.43432188034057617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2982945144176483},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.19067972898483276},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10414433479309082},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.10060733556747437},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0982007086277008},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07012119889259338}],"concepts":[{"id":"https://openalex.org/C54732982","wikidata":"https://www.wikidata.org/wiki/Q1415345","display_name":"Modulo","level":2,"score":0.8711671829223633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871137619018555},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6614724397659302},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6539943218231201},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6332831382751465},{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.598511815071106},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.550086259841919},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5319438576698303},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5234412550926208},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5090824961662292},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.43432188034057617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2982945144176483},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.19067972898483276},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10414433479309082},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10060733556747437},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0982007086277008},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07012119889259338},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/icassp39728.2021.9414152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W48974879","https://openalex.org/W1484977481","https://openalex.org/W1536732175","https://openalex.org/W1969662538","https://openalex.org/W1973702046","https://openalex.org/W2041306743","https://openalex.org/W2098427444","https://openalex.org/W2123997046","https://openalex.org/W2131675349","https://openalex.org/W2135479785","https://openalex.org/W2162572758","https://openalex.org/W2170779872","https://openalex.org/W2188799677","https://openalex.org/W2409918256","https://openalex.org/W2477175076","https://openalex.org/W2576558450","https://openalex.org/W2588416002","https://openalex.org/W2737827235","https://openalex.org/W2802183119","https://openalex.org/W2921637539","https://openalex.org/W2940392246","https://openalex.org/W2944333051","https://openalex.org/W2957868527","https://openalex.org/W2982637295","https://openalex.org/W2998221947","https://openalex.org/W3011794028","https://openalex.org/W3015455788","https://openalex.org/W3015890219","https://openalex.org/W3040838455","https://openalex.org/W3089504710","https://openalex.org/W3103759548","https://openalex.org/W3105381059","https://openalex.org/W4226051885","https://openalex.org/W4231081240","https://openalex.org/W4252713891","https://openalex.org/W6601985364"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":{"In":[0],"contrast":[1],"to":[2,31,72],"Shannon":[3],"sampling":[4,15,27],"theory,":[5,66],"where":[6],"measurements":[7],"are":[8,29],"recorded":[9],"at":[10,18],"equally-spaced":[11],"time":[12],"instants,":[13],"event-driven":[14,94,186],"records":[16],"values":[17],"non-uniform":[19],"instants":[20],"dependent":[21],"on":[22,59,63,102],"the":[23,49,60,105,116,123,127,139,151,154,169,172,179],"input.":[24],"However,":[25],"both":[26],"schemes":[28],"subject":[30],"input":[32,76,152],"dynamic":[33,107,125],"range":[34,193],"constraints.":[35],"This":[36],"represents":[37],"a":[38,69,74,81,85,182,190],"fundamental":[39],"bottleneck,":[40],"which":[41,67,150],"can":[42,158],"only":[43],"be":[44,136,159],"alleviated":[45],"via":[46],"adjustments":[47],"in":[48,88],"encoder":[50],"architecture.":[51],"Here":[52],"we":[53,167],"explore":[54],"an":[55,91],"alternative":[56],"strategy":[57],"based":[58],"recent":[61],"work":[62],"Unlimited":[64],"Sampling":[65],"uses":[68],"modulo":[70,86,97,128],"non-linearity":[71,87],"guarantee":[73],"predefined":[75],"amplitude":[77],"range.":[78],"We":[79,145],"propose":[80],"cascade":[82,156],"model":[83,111,157],"comprising":[84],"series":[89],"with":[90,115,142,161],"integrate-and-fire":[92],"(IF)":[93],"encoder.":[95],"The":[96,175],"component":[98],"does":[99],"not":[100],"act":[101],"inputs":[103,121],"within":[104],"IF":[106,118,124,140],"range,":[108,126],"thus":[109],"our":[110],"is":[112,130],"fully":[113],"compatible":[114],"existing":[117,143],"methodology.":[119],"For":[120],"outside":[122],"output":[129,141],"discontinuous,":[131],"and":[132],"it":[133],"currently":[134],"cannot":[135],"recovered":[137,160],"from":[138],"methods.":[144],"introduce":[146],"theoretical":[147],"conditions":[148],"for":[149,181,189],"of":[153,171,185,194],"proposed":[155,176],"arbitrary":[162],"precision.":[163],"Through":[164],"numerical":[165],"simulations,":[166],"show":[168],"performance":[170],"reconstruction":[173],"algorithm.":[174],"methodology":[177],"paves":[178],"way":[180],"new":[183],"generation":[184],"models":[187],"suitable":[188],"much":[191],"wider":[192],"applications.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}