{"id":"https://openalex.org/W3150048518","doi":"https://doi.org/10.1109/tcsii.2021.3070159","title":"FRI Sampling of Parametric Signals With Non-Ideal Sinc Kernel","display_name":"FRI Sampling of Parametric Signals With Non-Ideal Sinc Kernel","publication_year":2021,"publication_date":"2021-03-31","ids":{"openalex":"https://openalex.org/W3150048518","doi":"https://doi.org/10.1109/tcsii.2021.3070159","mag":"3150048518"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2021.3070159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2021.3070159","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-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/A5031644149","display_name":"Guoxing Huang","orcid":"https://orcid.org/0000-0002-4591-0900"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoxing Huang","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4591-0900","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327247","display_name":"Linlin Chen","orcid":"https://orcid.org/0000-0002-5370-5624"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Chen","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089911056","display_name":"Weidang Lu","orcid":"https://orcid.org/0000-0002-8919-0327"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidang Lu","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8919-0327","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103010721","display_name":"Hong Peng","orcid":"https://orcid.org/0000-0002-9434-3148"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Peng","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461874","display_name":"Jingwen Wang","orcid":"https://orcid.org/0000-0002-1405-4697"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Wang","raw_affiliation_strings":["College of Information Engineering, China Jiliang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031644149"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.7123,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64553314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"68","issue":"10","first_page":"3361","last_page":"3365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9977999925613403,"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/sinc-function","display_name":"Sinc function","score":0.7559977769851685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561493873596191},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6472747325897217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5488584041595459},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.525718629360199},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5218487977981567},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.5103153586387634},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.5039753317832947},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5000779628753662},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.4766457974910736},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.47143831849098206},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4699547290802002},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.446635901927948},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4417096972465515},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2836158871650696},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.26632243394851685},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2132069170475006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20674213767051697},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17248576879501343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08894351124763489},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0851449966430664}],"concepts":[{"id":"https://openalex.org/C152303783","wikidata":"https://www.wikidata.org/wiki/Q855949","display_name":"Sinc function","level":2,"score":0.7559977769851685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561493873596191},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6472747325897217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5488584041595459},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.525718629360199},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5218487977981567},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.5103153586387634},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.5039753317832947},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5000779628753662},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.4766457974910736},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.47143831849098206},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4699547290802002},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.446635901927948},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4417096972465515},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2836158871650696},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26632243394851685},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2132069170475006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20674213767051697},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17248576879501343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08894351124763489},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0851449966430664},{"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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2021.3070159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2021.3070159","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G2691906721","display_name":null,"funder_award_id":"LQ21F010014","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4602436336","display_name":null,"funder_award_id":"61871348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G481692064","display_name":null,"funder_award_id":"LQ20F030017","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1980300788","https://openalex.org/W2102701524","https://openalex.org/W2132874190","https://openalex.org/W2138787877","https://openalex.org/W2149213383","https://openalex.org/W2211084269","https://openalex.org/W2515899054","https://openalex.org/W2622539679","https://openalex.org/W2741812979","https://openalex.org/W2766096098","https://openalex.org/W2892639869","https://openalex.org/W2903697995","https://openalex.org/W2912263317","https://openalex.org/W2975518194","https://openalex.org/W2996102701","https://openalex.org/W3098991482"],"related_works":["https://openalex.org/W2210983845","https://openalex.org/W1829115271","https://openalex.org/W2054047433","https://openalex.org/W2963064851","https://openalex.org/W2119250743","https://openalex.org/W2545081564","https://openalex.org/W2618908398","https://openalex.org/W4245974431","https://openalex.org/W2096995356","https://openalex.org/W2292746209"],"abstract_inverted_index":{"Recent":[0],"developed":[1],"finite":[2],"rate":[3],"of":[4,15,22,31,41,84,112,121,124,137],"innovation":[5],"(FRI)":[6],"theory":[7],"provides":[8],"an":[9],"efficient":[10],"way":[11],"for":[12,63,161],"sub-Nyquist":[13],"sampling":[14,33,61,87],"wideband":[16],"parametric":[17,64,94],"signals":[18,65],"in":[19,49,128,179],"the":[20,27,38,50,73,93,129,134,149,172,180,186],"fields":[21],"radar":[23],"and":[24,168,183],"communication.":[25],"However,":[26],"existing":[28],"hardware":[29,78,157,169,181],"schemes":[30],"FRI":[32,60],"systems":[34],"have":[35],"not":[36],"considered":[37],"non-ideal":[39,67,77,135,177],"effects":[40,136,178],"physical":[42,138],"components,":[43,139],"which":[44,70,105],"lead":[45],"to":[46,108,166],"low":[47,98],"accuracy":[48],"signal":[51,95,127,187],"reconstruction":[52,74,188],"process.":[53],"In":[54],"this":[55],"brief,":[56],"we":[57,140],"propose":[58,141],"a":[59,97,103,110,119,142,156],"system":[62,82,174],"with":[66,102],"sinc":[68],"kernel,":[69],"significantly":[71],"improves":[72],"performance":[75],"under":[76],"environment.":[79],"The":[80,89,115],"proposed":[81,173],"consists":[83],"two":[85],"parallel":[86],"channels.":[88],"first":[90],"channel":[91,117],"samples":[92],"at":[96],"speed":[99],"after":[100],"filtered":[101],"LPF,":[104],"is":[106],"used":[107],"obtain":[109],"part":[111,120],"Fourier":[113,122,151],"coefficients.":[114,152],"other":[116],"obtains":[118],"coefficients":[123],"its":[125],"basis":[126],"same":[130],"way.":[131],"To":[132],"eliminate":[133,176],"parameters":[143],"joint":[144],"estimation":[145],"algorithm":[146],"by":[147],"using":[148],"obtained":[150],"We":[153],"also":[154],"provide":[155],"platform":[158],"design":[159],"scheme":[160],"implementing":[162],"our":[163],"system.":[164],"According":[165],"simulation":[167],"experiment":[170],"results,":[171],"can":[175],"process,":[182],"greatly":[184],"improve":[185],"accuracy.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}