{"id":"https://openalex.org/W4364360531","doi":"https://doi.org/10.3390/a16040203","title":"Feasibility of Low Latency, Single-Sample Delay Resampling: A New Kriging Based Method","display_name":"Feasibility of Low Latency, Single-Sample Delay Resampling: A New Kriging Based Method","publication_year":2023,"publication_date":"2023-04-11","ids":{"openalex":"https://openalex.org/W4364360531","doi":"https://doi.org/10.3390/a16040203"},"language":"en","primary_location":{"id":"doi:10.3390/a16040203","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16040203","pdf_url":"https://www.mdpi.com/1999-4893/16/4/203/pdf?version=1681883977","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/4/203/pdf?version=1681883977","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087956380","display_name":"Reiner Jedermann","orcid":"https://orcid.org/0000-0002-0390-9143"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Reiner Jedermann","raw_affiliation_strings":["Institute for Microsensors, Actuators and Systems (IMSAS), University Bremen, Otto-Hahn Allee 1, 28359 Bremen, Germany","Institute for Microsensors, Actuators and Systems (IMSAS), University Bremen, Otto-Hahn Allee 1, 28359 Bremen, Germany;"],"raw_orcid":"https://orcid.org/0000-0002-0390-9143","affiliations":[{"raw_affiliation_string":"Institute for Microsensors, Actuators and Systems (IMSAS), University Bremen, Otto-Hahn Allee 1, 28359 Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Institute for Microsensors, Actuators and Systems (IMSAS), University Bremen, Otto-Hahn Allee 1, 28359 Bremen, Germany;","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087956380"],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.3361,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56294463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"4","first_page":"203","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987000226974487,"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/T12537","display_name":"Flow Measurement and Analysis","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8960676193237305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199771761894226},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6098341345787048},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.6014454364776611},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.548541247844696},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.4624076187610626},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4199164807796478},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41009974479675293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36232513189315796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17881804704666138},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1396961808204651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1033085286617279}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8960676193237305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199771761894226},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6098341345787048},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6014454364776611},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.548541247844696},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.4624076187610626},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4199164807796478},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41009974479675293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36232513189315796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17881804704666138},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1396961808204651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1033085286617279},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a16040203","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16040203","pdf_url":"https://www.mdpi.com/1999-4893/16/4/203/pdf?version=1681883977","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2141e7d1ff8e439a9eb748910a93b9b1","is_oa":true,"landing_page_url":"https://doaj.org/article/2141e7d1ff8e439a9eb748910a93b9b1","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":"Algorithms, Vol 16, Iss 4, p 203 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/4/203/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16040203","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":"Algorithms; Volume 16; Issue 4; Pages: 203","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16040203","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16040203","pdf_url":"https://www.mdpi.com/1999-4893/16/4/203/pdf?version=1681883977","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4364360531.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1606926008","https://openalex.org/W1977567054","https://openalex.org/W2004421506","https://openalex.org/W2040250501","https://openalex.org/W2069910237","https://openalex.org/W2135479785","https://openalex.org/W2160209843","https://openalex.org/W2166500461","https://openalex.org/W2478767336","https://openalex.org/W2549116331","https://openalex.org/W2552414984","https://openalex.org/W2928225893","https://openalex.org/W2940922269","https://openalex.org/W2996791842","https://openalex.org/W3081191560","https://openalex.org/W3086586887","https://openalex.org/W3095116827","https://openalex.org/W3160775890","https://openalex.org/W4211049957","https://openalex.org/W4229875153","https://openalex.org/W4242565096","https://openalex.org/W4282575162","https://openalex.org/W4306835686","https://openalex.org/W4323569795"],"related_works":["https://openalex.org/W1968523686","https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W4285326088","https://openalex.org/W3212114011","https://openalex.org/W1993996173","https://openalex.org/W2055080101","https://openalex.org/W3200148366","https://openalex.org/W4286247444"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1],"systems":[2],"often":[3],"fail":[4],"to":[5,21,26,75,96,136],"provide":[6],"measurements":[7],"with":[8,104,179],"uniform":[9,22],"time":[10],"spacing.":[11],"Measurements":[12],"can":[13],"be":[14],"delayed":[15],"or":[16,67],"even":[17],"miss":[18],"completely.":[19],"Resampling":[20],"intervals":[23],"is":[24,55,74,100,193],"necessary":[25,150],"satisfy":[27],"the":[28,59,77,83,86,114,120,125,134,138,156,172,184,197],"requirements":[29],"of":[30,49,52,62,65,71,79,107,164,199],"subsequent":[31],"signal":[32,160],"processing.":[33],"Common":[34],"resampling":[35,123,192],"algorithms,":[36],"based":[37],"on":[38,155],"symmetric":[39],"finite":[40],"impulse":[41],"response":[42],"(FIR)":[43],"filters,":[44],"entail":[45],"a":[46],"group":[47],"delay":[48],"10":[50],"s":[51],"samples,":[53,167,181],"which":[54],"not":[56],"acceptable":[57],"regarding":[58],"typical":[60],"interval":[61],"wireless":[63],"sensors":[64],"seconds":[66],"minutes.":[68],"The":[69,128,187],"purpose":[70],"this":[72],"paper":[73],"verify":[76],"feasibility":[78],"single-delay":[80,129,152,191],"resampling,":[81,153],"i.e.,":[82],"algorithm":[84],"resamples":[85],"data":[87],"without":[88],"waiting":[89],"for":[90,113,151,177],"future":[91],"samples.":[92],"A":[93],"new":[94],"method":[95],"parametrize":[97],"Kriging":[98,118,170,182],"interpolation":[99,109],"presented":[101],"and":[102,147,159,168,202],"compared":[103],"two":[105],"variants":[106],"Lagrange":[108],"in":[110,124,162],"detailed":[111],"simulations":[112,188],"resulting":[115],"prediction":[116],"error.":[117],"provided":[119,183],"most":[121],"accurate":[122],"group-delay":[126],"scenario.":[127],"scenario":[130],"required":[131,157],"almost":[132],"double":[133],"OSR":[135,144,201],"achieve":[137],"same":[139],"signal-to-noise":[140],"ratio":[141],"(SNR).":[142],"An":[143],"between":[145],"1.8":[146],"3.1":[148],"was":[149,171],"depending":[154],"SNR":[158],"distortions":[161],"terms":[163],"jitter,":[165],"missing":[166,180],"noise.":[169],"least":[173],"noise-sensitive":[174],"method.":[175],"Especially":[176],"signals":[178],"best":[185],"accuracy.":[186],"showed":[189],"that":[190],"feasible,":[194],"but":[195],"at":[196],"expense":[198],"higher":[200],"limited":[203],"SNR.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
