{"id":"https://openalex.org/W4390638746","doi":"https://doi.org/10.1186/s13634-023-01093-0","title":"Multi-tier dynamic sampling weak RF signal estimation theory","display_name":"Multi-tier dynamic sampling weak RF signal estimation theory","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4390638746","doi":"https://doi.org/10.1186/s13634-023-01093-0"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-023-01093-0","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13634-023-01093-0","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01093-0","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01093-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111515724","display_name":"Brett Smith","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brett Smith","raw_affiliation_strings":["Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042008601","display_name":"Mary Lanzerotti","orcid":"https://orcid.org/0000-0001-7802-1117"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mary Lanzerotti","raw_affiliation_strings":["Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7802-1117","affiliations":[{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042008601"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":0.2472,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44191185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11447","display_name":"Blind Source Separation Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12004","display_name":"Advanced Frequency and Time Standards","score":0.9941999912261963,"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/signal","display_name":"SIGNAL (programming language)","score":0.6287600994110107},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5896589159965515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541562020778656},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46435546875},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.46248704195022583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35455289483070374},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1865900158882141},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15698912739753723},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07097727060317993}],"concepts":[{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6287600994110107},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5896589159965515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541562020778656},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46435546875},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.46248704195022583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35455289483070374},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1865900158882141},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15698912739753723},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07097727060317993},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s13634-023-01093-0","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13634-023-01093-0","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01093-0","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e16de164059042f6b7adabc9b4ce40dd","is_oa":true,"landing_page_url":"https://doaj.org/article/e16de164059042f6b7adabc9b4ce40dd","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":"EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-35 (2024)","raw_type":"article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/117720","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/117720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"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":null,"raw_type":"Article - Refereed"}],"best_oa_location":{"id":"doi:10.1186/s13634-023-01093-0","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13634-023-01093-0","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01093-0","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390638746.pdf","grobid_xml":"https://content.openalex.org/works/W4390638746.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W651359945","https://openalex.org/W1499739822","https://openalex.org/W1518840920","https://openalex.org/W1577771714","https://openalex.org/W1861464140","https://openalex.org/W1969427474","https://openalex.org/W2056413883","https://openalex.org/W2059653763","https://openalex.org/W2070118810","https://openalex.org/W2096681801","https://openalex.org/W2103765032","https://openalex.org/W2104209025","https://openalex.org/W2131476315","https://openalex.org/W2135143089","https://openalex.org/W2141128974","https://openalex.org/W2148112415","https://openalex.org/W2164576863","https://openalex.org/W2233148578","https://openalex.org/W2467829111","https://openalex.org/W2511779597","https://openalex.org/W2555077611","https://openalex.org/W2584204954","https://openalex.org/W2587830232","https://openalex.org/W2588862697","https://openalex.org/W2619052533","https://openalex.org/W2900430621","https://openalex.org/W2904541071","https://openalex.org/W2974511635","https://openalex.org/W2997791733","https://openalex.org/W3119570919","https://openalex.org/W3120096851","https://openalex.org/W4312644704","https://openalex.org/W4321769951","https://openalex.org/W4364304492","https://openalex.org/W4366245735","https://openalex.org/W4386251943"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2052122378","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2004357175","https://openalex.org/W2989452537"],"abstract_inverted_index":{"Abstract":[0],"This":[1,53,227],"paper":[2,54,67],"presents":[3],"a":[4,11,88,95,220],"theoretical":[5],"analysis":[6],"in":[7,50,184],"discrete":[8,61],"time":[9,24,62],"for":[10,73,158,203,232],"multi-tier":[12],"weak":[13,76,96,117,135,139,151,179,196,233],"radiofrequency":[14],"(RF)":[15],"signal":[16,38,77,90,97,118,136,140,152,173,180,197,234],"estimation":[17,236],"process":[18],"with":[19,41,45,87,160,210],"N":[20,82,162],"simultaneous":[21,85,165],"signals.":[22,167],"Discrete":[23],"dynamic":[25,63,211],"sampling":[26,64,106,212],"is":[27,30,174,181,191,198],"introduced":[28],"and":[29,94,138,177,194],"shown":[31],"to":[32,36],"provide":[33],"the":[34,70,101,107,113,133,149,171,178,185,188,195],"capability":[35,72],"extract":[37],"parameter":[39,78],"values":[40],"increased":[42],"accuracy":[43,46],"compared":[44],"of":[47,132,148,224],"estimates":[48,120,142,208,217],"obtained":[49,209],"prior":[51],"work.":[52],"advances":[55],"phase":[56],"measurement":[57],"approaches":[58],"by":[59],"proposing":[60],"which":[65],"our":[66],"shows":[68],"offers":[69],"desirable":[71],"more":[74,214],"accurate":[75,215],"estimates.":[79],"For":[80],"$$N=2$$":[81,161],"=":[83,163],"2":[84,164],"signals":[86],"strong":[89,172,189],"at":[91,98,110],"850":[92],"MHz":[93],"855":[99],"MHz,":[100,176,193],"results":[102,202],"show":[103,206],"that":[104,121,143,207],"dynamically":[105],"instantaneous":[108,238],"frequency":[109,119,137,239],"24":[111],"times":[112],"Nyquist":[114],"rate":[115,223],"provides":[116],"are":[122,144,155,213],"within":[123,145],"$$1.7":[124],"\\times":[125],"10^{-5}$$":[126],"1.7":[127],"\u00d7":[128],"10":[129],"-":[130],"5":[131],"actual":[134,150],"amplitude":[141],"428":[146],"PPM":[147],"amplitude.":[153],"Results":[154],"also":[156],"presented":[157],"situations":[159],"5G":[166],"In":[168],"one":[169],"case,":[170],"3950":[175],"3955":[182],"MHz;":[183],"other":[186],"case":[187,190],"5950":[192],"5955":[199],"MHz.":[200],"The":[201],"these":[204],"cases":[205],"than":[216],"provided":[218],"using":[219,237],"single":[221],"sample":[222],"65":[225],"MSPS.":[226],"work":[228],"has":[229],"promising":[230],"applications":[231],"parameters":[235],"measurements.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}