{"id":"https://openalex.org/W4384158877","doi":"https://doi.org/10.1109/i2mtc53148.2023.10176073","title":"Assessment of Sparse Fourier Transform for Spectral Measurements","display_name":"Assessment of Sparse Fourier Transform for Spectral Measurements","publication_year":2023,"publication_date":"2023-05-22","ids":{"openalex":"https://openalex.org/W4384158877","doi":"https://doi.org/10.1109/i2mtc53148.2023.10176073"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc53148.2023.10176073","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc53148.2023.10176073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5034361203","display_name":"Pasquale Daponte","orcid":"https://orcid.org/0000-0002-5215-3661"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Pasquale Daponte","raw_affiliation_strings":["University of Sannio,Department of Engineering,Benevento,Italy","Department of Engineering, University of Sannio, Benevento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio,Department of Engineering,Benevento,Italy","institution_ids":["https://openalex.org/I16337185"]},{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074293414","display_name":"Luca De Vito","orcid":"https://orcid.org/0000-0003-1896-2614"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca De Vito","raw_affiliation_strings":["University of Sannio,Department of Engineering,Benevento,Italy","Department of Engineering, University of Sannio, Benevento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio,Department of Engineering,Benevento,Italy","institution_ids":["https://openalex.org/I16337185"]},{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087692673","display_name":"Francesco Picariello","orcid":"https://orcid.org/0000-0001-6854-3026"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Picariello","raw_affiliation_strings":["University of Sannio,Department of Engineering,Benevento,Italy","Department of Engineering, University of Sannio, Benevento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio,Department of Engineering,Benevento,Italy","institution_ids":["https://openalex.org/I16337185"]},{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010415569","display_name":"Sergio Rapuano","orcid":"https://orcid.org/0000-0003-3249-0473"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Rapuano","raw_affiliation_strings":["University of Sannio,Department of Engineering,Benevento,Italy","Department of Engineering, University of Sannio, Benevento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio,Department of Engineering,Benevento,Italy","institution_ids":["https://openalex.org/I16337185"]},{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087673689","display_name":"Ioan Tudosa","orcid":"https://orcid.org/0000-0002-5127-578X"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ioan Tudosa","raw_affiliation_strings":["University of Sannio,Department of Engineering,Benevento,Italy","Department of Engineering, University of Sannio, Benevento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio,Department of Engineering,Benevento,Italy","institution_ids":["https://openalex.org/I16337185"]},{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034361203"],"corresponding_institution_ids":["https://openalex.org/I16337185"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06636189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"200","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9980000257492065,"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9980000257492065,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.7043031454086304},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.6147308349609375},{"id":"https://openalex.org/keywords/non-uniform-discrete-fourier-transform","display_name":"Non-uniform discrete Fourier transform","score":0.6023942232131958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.558074414730072},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.5561055541038513},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.5423397421836853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5355249643325806},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.5017952919006348},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.4740833044052124},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.4680563807487488},{"id":"https://openalex.org/keywords/constant-q-transform","display_name":"Constant Q transform","score":0.4365779459476471},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42046433687210083},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41448312997817993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29900285601615906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26711124181747437},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.25648701190948486},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.11150383949279785},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08518105745315552},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.061405062675476074},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.058843404054641724}],"concepts":[{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.7043031454086304},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.6147308349609375},{"id":"https://openalex.org/C62058723","wikidata":"https://www.wikidata.org/wiki/Q7049066","display_name":"Non-uniform discrete Fourier transform","level":5,"score":0.6023942232131958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.558074414730072},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.5561055541038513},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.5423397421836853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5355249643325806},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.5017952919006348},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.4740833044052124},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.4680563807487488},{"id":"https://openalex.org/C153705960","wikidata":"https://www.wikidata.org/wiki/Q5163634","display_name":"Constant Q transform","level":5,"score":0.4365779459476471},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42046433687210083},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41448312997817993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29900285601615906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26711124181747437},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.25648701190948486},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.11150383949279785},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08518105745315552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.061405062675476074},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.058843404054641724},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc53148.2023.10176073","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc53148.2023.10176073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1522894866","https://openalex.org/W1983695700","https://openalex.org/W1999810742","https://openalex.org/W2031425559","https://openalex.org/W2092348072","https://openalex.org/W2624724935","https://openalex.org/W2793332341","https://openalex.org/W2891290161","https://openalex.org/W2904888177","https://openalex.org/W2987362876","https://openalex.org/W3018507767","https://openalex.org/W3127677234","https://openalex.org/W3162884904","https://openalex.org/W3173513492","https://openalex.org/W3181859403","https://openalex.org/W4206660090"],"related_works":["https://openalex.org/W2900642428","https://openalex.org/W1281595","https://openalex.org/W2391278690","https://openalex.org/W2143218750","https://openalex.org/W237185286","https://openalex.org/W4391265621","https://openalex.org/W2377922705","https://openalex.org/W4232826315","https://openalex.org/W2551275593","https://openalex.org/W3021127325"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"to":[3,71],"evaluate":[4],"the":[5,24,42,46,49,52,62,67,72,83],"metrological":[6],"performance":[7],"of":[8,44,61,66],"newly":[9],"proposed":[10],"Sparse":[11,25],"Fourier":[12,26,85],"Transform":[13],"for":[14,18],"a":[15],"possible":[16],"use":[17],"spectral":[19],"measurements.":[20],"An":[21],"algorithm":[22],"implementing":[23],"has":[27],"been":[28,38,77],"selected":[29],"and":[30,33,51,65],"several":[31],"simulations":[32],"some":[34],"experimental":[35],"tests":[36],"have":[37,76],"carried":[39],"out,":[40],"with":[41,58,79],"aim":[43],"determining":[45],"frequency":[47],"resolution,":[48],"detectability":[50],"accuracy":[53],"provided":[54,70],"by":[55,82],"this":[56],"transform,":[57],"different":[59],"values":[60],"Signal-to-Noise":[63],"Ratio":[64],"signal":[68],"sparsity":[69],"algorithm.":[73],"The":[74],"results":[75],"compared":[78],"those":[80],"obtained":[81],"Fast":[84],"Transform.":[86]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}