{"id":"https://openalex.org/W4372268069","doi":"https://doi.org/10.1109/icassp49357.2023.10097109","title":"Unlimited Sampling in Phase Space","display_name":"Unlimited Sampling in Phase Space","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372268069","doi":"https://doi.org/10.1109/icassp49357.2023.10097109"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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/A5100605328","display_name":"Peiyu Zhang","orcid":"https://orcid.org/0000-0002-9773-0514"},"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":"Peiyu Zhang","raw_affiliation_strings":["Imperial College London,Dept. of Electrical and Electronic Engg.,UK,SW7 2AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Dept. of Electrical and Electronic Engg.,UK,SW7 2AZ","institution_ids":["https://openalex.org/I47508984"]}]},{"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,Dept. of Electrical and Electronic Engg.,UK,SW7 2AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Dept. of Electrical and Electronic Engg.,UK,SW7 2AZ","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.4904,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5303018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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":0.996999979019165,"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/bandlimiting","display_name":"Bandlimiting","score":0.7997561693191528},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6542106866836548},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6521704196929932},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5851268768310547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5824655294418335},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.5388104319572449},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.5132262706756592},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4709302484989166},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45310068130493164},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.416444331407547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34814828634262085},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1728001832962036},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14986082911491394},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08789601922035217}],"concepts":[{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.7997561693191528},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6542106866836548},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6521704196929932},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5851268768310547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5824655294418335},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.5388104319572449},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.5132262706756592},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4709302484989166},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45310068130493164},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.416444331407547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34814828634262085},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1728001832962036},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14986082911491394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08789601922035217},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W586299271","https://openalex.org/W1974472251","https://openalex.org/W1999198554","https://openalex.org/W2003071542","https://openalex.org/W2044516693","https://openalex.org/W2122106254","https://openalex.org/W2144145044","https://openalex.org/W2166500461","https://openalex.org/W2170411504","https://openalex.org/W2737827235","https://openalex.org/W2794212473","https://openalex.org/W2798190016","https://openalex.org/W2805751152","https://openalex.org/W2838793543","https://openalex.org/W2930502000","https://openalex.org/W2944333051","https://openalex.org/W2963262474","https://openalex.org/W3084030896","https://openalex.org/W3099366122","https://openalex.org/W3105381059","https://openalex.org/W3114772133","https://openalex.org/W3158435804","https://openalex.org/W3161477338","https://openalex.org/W3199048522","https://openalex.org/W3202709246","https://openalex.org/W3207395252","https://openalex.org/W3217376978","https://openalex.org/W4214871684","https://openalex.org/W4221017392","https://openalex.org/W4224916708","https://openalex.org/W4285044861","https://openalex.org/W4304698033","https://openalex.org/W6749711745"],"related_works":["https://openalex.org/W2170014524","https://openalex.org/W2125529598","https://openalex.org/W1421666895","https://openalex.org/W4247246397","https://openalex.org/W2148909075","https://openalex.org/W2123798204","https://openalex.org/W2143776865","https://openalex.org/W4297783100","https://openalex.org/W2949625467","https://openalex.org/W2140510750"],"abstract_inverted_index":{"The":[0,95],"Unlimited":[1,90],"Sampling":[2,91],"Framework":[3],"(USF)":[4],"is":[5,64,150,166],"an":[6],"alternative":[7],"sampling":[8,38],"and":[9,159,179,190],"reconstruction":[10],"protocol":[11],"that":[12,18,44,134,165],"allows":[13,130],"for":[14,131,183],"recovery":[15,53,163],"of":[16,26,75,82,109],"signals":[17],"are":[19,97,117],"arbitrarily":[20],"larger":[21,80,107],"than":[22],"the":[23,27,32,52,62,73,102,120,126],"dynamic":[24,41],"range":[25,42],"analog-to-digital":[28],"converter":[29],"(ADC).":[30],"In":[31,51],"USF,":[33],"modulo":[34,153],"non-linearity":[35],"prior":[36],"to":[37,77,104],"folds":[39],"high":[40],"inputs":[43],"may":[45],"potentially":[46],"saturate":[47],"a":[48,78,105,151,160],"conventional":[49],"ADC.":[50],"step,":[54],"algorithms":[55],"perform":[56],"signal":[57],"unfolding.":[58],"Current":[59],"theory":[60,178],"backing":[61],"USF":[63,103],"predominantly":[65],"focused":[66],"towards":[67],"Fourier":[68,121,141,171],"bandlimited":[69,124],"function":[70],"classes.By":[71],"generalizing":[72],"notion":[74],"bandlimitedness":[76],"much":[79,106],"class":[81,108],"unitary":[83,110],"transforms,":[84],"in":[85,92,119,125,147,156],"this":[86,148],"work,":[87],"we":[88,100],"propose":[89],"Phase":[93],"Space.":[94],"advantages":[96],"two-fold.":[98],"Firstly,":[99],"generalize":[101],"transforms.":[111],"Secondly,":[112],"functions":[113],"such":[114,187],"us":[115],"chirps":[116],"non-bandlimited":[118],"domain":[122,142,172],"but":[123],"phase":[127,157],"space.":[128],"This":[129],"practical":[132],"applications":[133],"can":[135],"not":[136],"be":[137],"handled":[138],"by":[139],"current,":[140],"theory.":[143,173],"Our":[144],"main":[145],"contribution":[146],"paper":[149],"novel":[152],"acquisition":[154],"pipeline":[155],"space":[158],"mathematically":[161],"guaranteed":[162],"algorithm":[164],"also":[167],"backwards":[168],"compatible":[169],"with":[170],"Computer":[174],"experiments":[175],"validate":[176],"our":[177],"reinforce":[180],"its":[181],"potential":[182],"new":[184],"application":[185],"areas":[186],"as":[188],"radar":[189],"optics.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}