{"id":"https://openalex.org/W2973597127","doi":"https://doi.org/10.3390/s19194122","title":"Super Sub-Nyquist Single-Pixel Imaging by Means of Cake-Cutting Hadamard Basis Sort","display_name":"Super Sub-Nyquist Single-Pixel Imaging by Means of Cake-Cutting Hadamard Basis Sort","publication_year":2019,"publication_date":"2019-09-23","ids":{"openalex":"https://openalex.org/W2973597127","doi":"https://doi.org/10.3390/s19194122","mag":"2973597127","pmid":"https://pubmed.ncbi.nlm.nih.gov/31548513"},"language":"en","primary_location":{"id":"doi:10.3390/s19194122","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19194122","pdf_url":"https://www.mdpi.com/1424-8220/19/19/4122/pdf?version=1569250371","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/19/4122/pdf?version=1569250371","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wen-Kai Yu","orcid":"https://orcid.org/0000-0002-9481-2389"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen-Kai Yu","raw_affiliation_strings":["Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081, China","Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, School of Physics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":"https://orcid.org/0000-0002-9481-2389","affiliations":[{"raw_affiliation_string":"Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, School of Physics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":5.0237,"has_fulltext":true,"cited_by_count":189,"citation_normalized_percentile":{"value":0.98394161,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"19","first_page":"4122","last_page":"4122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.004999999888241291,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.7921000123023987},{"id":"https://openalex.org/keywords/hadamard-transform","display_name":"Hadamard transform","score":0.7738000154495239},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.54830002784729},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.48969998955726624},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.47290000319480896},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4643999934196472},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.45829999446868896},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.453900009393692},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.44999998807907104}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7921000123023987},{"id":"https://openalex.org/C60292330","wikidata":"https://www.wikidata.org/wiki/Q1014065","display_name":"Hadamard transform","level":2,"score":0.7738000154495239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6039999723434448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5703999996185303},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.54830002784729},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.48969998955726624},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.47290000319480896},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4643999934196472},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.44999998807907104},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C30463267","wikidata":"https://www.wikidata.org/wiki/Q1422682","display_name":"Hadamard matrix","level":3,"score":0.3930000066757202},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.37940001487731934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3587999939918518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35749998688697815},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3066999912261963},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.28790000081062317},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27649998664855957},{"id":"https://openalex.org/C159484563","wikidata":"https://www.wikidata.org/wiki/Q628723","display_name":"Dead time","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2540999948978424}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s19194122","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19194122","pdf_url":"https://www.mdpi.com/1424-8220/19/19/4122/pdf?version=1569250371","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31548513","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31548513","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:arXiv.org:1903.11175","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.11175","pdf_url":"https://arxiv.org/pdf/1903.11175","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:540a5e675d5247548fc85d7dd0243d7f","is_oa":true,"landing_page_url":"https://doaj.org/article/540a5e675d5247548fc85d7dd0243d7f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 19, p 4122 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/19/4122/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19194122","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6806058","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6806058","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19194122","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19194122","pdf_url":"https://www.mdpi.com/1424-8220/19/19/4122/pdf?version=1569250371","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G135234679","display_name":null,"funder_award_id":"D040301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2558980765","display_name":null,"funder_award_id":"61801022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6256346676","display_name":null,"funder_award_id":"2016YFE0131500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G74172069","display_name":null,"funder_award_id":"GZ2018185101","funder_id":"https://openalex.org/F4320323110","funder_display_name":"Beijing Institute of Technology"},{"id":"https://openalex.org/G8284826564","display_name":null,"funder_award_id":"4184098","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323110","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2973597127.pdf","grobid_xml":"https://content.openalex.org/works/W2973597127.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W59557121","https://openalex.org/W113877133","https://openalex.org/W143004564","https://openalex.org/W1495471461","https://openalex.org/W1546342348","https://openalex.org/W1779006005","https://openalex.org/W1919432017","https://openalex.org/W1998688147","https://openalex.org/W2015418199","https://openalex.org/W2024229497","https://openalex.org/W2029816571","https://openalex.org/W2035283119","https://openalex.org/W2035810769","https://openalex.org/W2037434198","https://openalex.org/W2040202084","https://openalex.org/W2045894527","https://openalex.org/W2047915170","https://openalex.org/W2051912414","https://openalex.org/W2073020452","https://openalex.org/W2090842051","https://openalex.org/W2092363538","https://openalex.org/W2098602977","https://openalex.org/W2103318588","https://openalex.org/W2114456237","https://openalex.org/W2121194215","https://openalex.org/W2122548617","https://openalex.org/W2133665775","https://openalex.org/W2134809980","https://openalex.org/W2156043924","https://openalex.org/W2291054886","https://openalex.org/W2295996710","https://openalex.org/W2418802570","https://openalex.org/W2530658616","https://openalex.org/W2609858752","https://openalex.org/W2622842312","https://openalex.org/W2647795496","https://openalex.org/W2653590625","https://openalex.org/W2902974737","https://openalex.org/W2962817839","https://openalex.org/W2963115099","https://openalex.org/W4250955649","https://openalex.org/W6658773716","https://openalex.org/W6665488052"],"related_works":[],"abstract_inverted_index":{"Single-pixel":[0],"imaging":[1,64,177],"via":[2],"compressed":[3],"sensing":[4],"can":[5,74,113,180],"reconstruct":[6],"high-quality":[7],"images":[8,88,165],"from":[9],"a":[10,19,28,47,61,68,153],"few":[11],"linear":[12],"random":[13,35],"measurements":[14,36],"of":[15,86,89,110,121,137,144],"an":[16],"object":[17],"known":[18],"priori":[20],"to":[21,46,125,131,183],"be":[22,114,181],"sparse":[23],"or":[24],"compressive,":[25],"by":[26,66],"using":[27,67],"point/bucket":[29],"detector":[30],"without":[31],"spatial":[32,56],"resolution.":[33,57],"Nevertheless,":[34],"still":[37],"have":[38],"blindness,":[39],"limiting":[40],"the":[41,51,55,77,104,118,122,127,134,138,142,158,174],"sampling":[42,95,100],"ratios":[43],"and":[44,54,101,130,162,179],"leading":[45],"harsh":[48],"trade-off":[49],"between":[50],"acquisition":[52,105],"time":[53],"Here,":[58],"we":[59,70,148],"present":[60,175],"new":[62],"compressive":[63],"approach":[65],"strategy":[69,112],"call":[71],"cake-cutting,":[72],"which":[73],"optimally":[75],"reorder":[76],"deterministic":[78],"Hadamard":[79,123],"basis.":[80],"The":[81],"proposed":[82],"method":[83,151,172],"is":[84],"capable":[85],"recovering":[87],"large":[90],"pixel-size":[91],"with":[92,117,152],"dramatically":[93],"reduced":[94],"ratios,":[96],"realizing":[97],"super":[98],"sub-Nyquist":[99],"significantly":[102],"decreasing":[103],"time.":[106],"Furthermore,":[107],"such":[108],"kind":[109],"sorting":[111],"easily":[115],"combined":[116],"structured":[119],"characteristic":[120],"matrix":[124,139],"accelerate":[126],"computational":[128],"process":[129],"simultaneously":[132],"reduce":[133],"memory":[135],"consumption":[136],"storage.":[140],"With":[141],"help":[143],"differential":[145],"modulation/measurement":[146],"technology,":[147],"demonstrate":[149],"this":[150,171],"single-photon":[154],"single-pixel":[155,176],"camera":[156],"under":[157],"ulta-weak":[159],"light":[160],"condition":[161],"retrieve":[163],"clear":[164],"through":[166],"partially":[167],"obscuring":[168],"scenes.":[169],"Thus,":[170],"complements":[173],"approaches":[178],"applied":[182],"many":[184],"fields.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":39},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2019-09-26T00:00:00"}
