{"id":"https://openalex.org/W3174122796","doi":"https://doi.org/10.1109/i2mtc50364.2021.9459910","title":"Unbiased Sine-wave Frequency Estimation by Parabolic Interpolation of DTFT Samples","display_name":"Unbiased Sine-wave Frequency Estimation by Parabolic Interpolation of DTFT Samples","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3174122796","doi":"https://doi.org/10.1109/i2mtc50364.2021.9459910","mag":"3174122796"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc50364.2021.9459910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc50364.2021.9459910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5006531391","display_name":"Daniel Belega","orcid":"https://orcid.org/0000-0002-4520-9292"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Daniel Belega","raw_affiliation_strings":["Politehnica University Timisoara, Timisoara, Romania"],"affiliations":[{"raw_affiliation_string":"Politehnica University Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064526108","display_name":"Dario Petri","orcid":"https://orcid.org/0000-0002-9739-4469"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dario Petri","raw_affiliation_strings":["University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006531391"],"corresponding_institution_ids":["https://openalex.org/I3122695212"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50119641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10573","display_name":"Power Quality and Harmonics","score":0.9781000018119812,"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/T11222","display_name":"Magnetic Properties and Applications","score":0.9477999806404114,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8274755477905273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6257237792015076},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.6112865805625916},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.568979799747467},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5657619833946228},{"id":"https://openalex.org/keywords/sine-wave","display_name":"Sine wave","score":0.5568592548370361},{"id":"https://openalex.org/keywords/sine","display_name":"Sine","score":0.5123082399368286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49160438776016235},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.48485860228538513},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.4493997097015381},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26428863406181335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24326163530349731},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2119644582271576},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1290271282196045},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.1215364933013916},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09108862280845642}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8274755477905273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6257237792015076},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.6112865805625916},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.568979799747467},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5657619833946228},{"id":"https://openalex.org/C66907618","wikidata":"https://www.wikidata.org/wiki/Q207527","display_name":"Sine wave","level":3,"score":0.5568592548370361},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.5123082399368286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49160438776016235},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.48485860228538513},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.4493997097015381},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26428863406181335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24326163530349731},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2119644582271576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1290271282196045},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.1215364933013916},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09108862280845642},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/i2mtc50364.2021.9459910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc50364.2021.9459910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/343494","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/343494","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W335937977","https://openalex.org/W1525535255","https://openalex.org/W1971581486","https://openalex.org/W1978316722","https://openalex.org/W1979792591","https://openalex.org/W2032233115","https://openalex.org/W2052641708","https://openalex.org/W2079865126","https://openalex.org/W2100142363","https://openalex.org/W2100567194","https://openalex.org/W2111460811","https://openalex.org/W2117171983","https://openalex.org/W2120958902","https://openalex.org/W2142387164","https://openalex.org/W2160502247","https://openalex.org/W2170470784","https://openalex.org/W2204671134","https://openalex.org/W2579888408","https://openalex.org/W2984139959"],"related_works":["https://openalex.org/W2886467464","https://openalex.org/W2379854577","https://openalex.org/W2362063739","https://openalex.org/W2351293857","https://openalex.org/W2424761688","https://openalex.org/W2487672730","https://openalex.org/W2091217334","https://openalex.org/W2409813437","https://openalex.org/W2335270510","https://openalex.org/W2613832741"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"the":[3,13,43,46,50,61,64,74,77,83,86,91],"Parabolic":[4],"Interpolated":[5],"Discrete-Time":[6],"Fourier":[7],"Transform":[8],"(PIpDTFT)":[9],"algorithm":[10],"proposed":[11,40],"for":[12],"frequency":[14,66,80,88,103],"estimation":[15],"of":[16,45,63,73,76,85,100],"a":[17,26,56,71],"complex-valued":[18],"sine-wave":[19],"is":[20,35,39,68,94],"extended":[21],"to":[22,90],"signal":[23],"weighted":[24],"by":[25],"Maximum":[27],"Sidelobe":[28],"Decay":[29],"(MSD)":[30],"window":[31],"and":[32,96],"its":[33],"accuracy":[34,62,75],"analyzed.":[36],"A":[37],"criterion":[38],"that":[41,54],"enables":[42],"determination":[44],"maximum":[47],"distance":[48],"between":[49],"DTFT":[51],"interpolation":[52],"points":[53],"ensures":[55],"negligible":[57],"estimator":[58,67,89],"bias.":[59],"Also,":[60],"PIpDTFT":[65,87],"analyzed":[69],"as":[70],"function":[72],"used":[78],"initial":[79],"estimate.":[81],"Moreover,":[82],"robustness":[84],"spurious":[92],"tones":[93],"investigated":[95],"compared":[97],"with":[98],"those":[99],"different":[101],"state-of-the-art":[102],"estimators":[104],"through":[105],"computer":[106],"simulations.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
