{"id":"https://openalex.org/W4387196940","doi":"https://doi.org/10.1109/tim.2023.3320730","title":"An Efficient Estimation Method for the Model Order of FRI Signal Based on Sub-Nyquist Sampling","display_name":"An Efficient Estimation Method for the Model Order of FRI Signal Based on Sub-Nyquist Sampling","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387196940","doi":"https://doi.org/10.1109/tim.2023.3320730"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3320730","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tim.2023.3320730","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5025061441","display_name":"Ning Fu","orcid":"https://orcid.org/0000-0002-0317-9697"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Fu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-0317-9697","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006708576","display_name":"Shuangxing Yun","orcid":"https://orcid.org/0000-0003-1256-6442"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangxing Yun","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1256-6442","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006333473","display_name":"Liyan Qiao","orcid":"https://orcid.org/0000-0002-7397-3458"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyan Qiao","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-7397-3458","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.1336,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39943412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9995999932289124,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.671154260635376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.623018741607666},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5603050589561462},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5387319922447205},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4732801616191864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34169211983680725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.291422575712204}],"concepts":[{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.671154260635376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623018741607666},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5603050589561462},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5387319922447205},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4732801616191864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34169211983680725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.291422575712204},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3320730","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tim.2023.3320730","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4740343229","display_name":"\u8d85\u5bbd\u5e26\u590d\u6742\u8c03\u5236\u96f7\u8fbe\u8f90\u5c04\u6e90\u4fe1\u53f7\u5206\u5e03\u5f0f\u6709\u9650\u65b0\u606f\u7387\u91c7\u6837\u7406\u8bba\u53ca\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8584913395","display_name":null,"funder_award_id":"62071149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1624008340","https://openalex.org/W1735999610","https://openalex.org/W2045615861","https://openalex.org/W2103300762","https://openalex.org/W2103973889","https://openalex.org/W2138787877","https://openalex.org/W2149213383","https://openalex.org/W2408555870","https://openalex.org/W2466967259","https://openalex.org/W2547849178","https://openalex.org/W2563799792","https://openalex.org/W2657110158","https://openalex.org/W2739824799","https://openalex.org/W2782430320","https://openalex.org/W2883797206","https://openalex.org/W2900471873","https://openalex.org/W3011127909","https://openalex.org/W3015441078","https://openalex.org/W3035383480","https://openalex.org/W3084462124","https://openalex.org/W3104690928","https://openalex.org/W3115716710","https://openalex.org/W3120017129","https://openalex.org/W3215193874","https://openalex.org/W4205966582","https://openalex.org/W4210807382","https://openalex.org/W4225784317","https://openalex.org/W4226300399","https://openalex.org/W4226371249","https://openalex.org/W4285271070","https://openalex.org/W4293193223","https://openalex.org/W4295521014","https://openalex.org/W4319989949","https://openalex.org/W4376481156","https://openalex.org/W4382657988","https://openalex.org/W6735913928"],"related_works":["https://openalex.org/W2389462125","https://openalex.org/W2091997962","https://openalex.org/W151496359","https://openalex.org/W1969863203","https://openalex.org/W4220662591","https://openalex.org/W856465872","https://openalex.org/W1987843132","https://openalex.org/W4246602344","https://openalex.org/W1480644286","https://openalex.org/W2359223678"],"abstract_inverted_index":{"The":[0],"finite":[1],"rate":[2],"of":[3,15,23,29,33,50,58,79,85,184],"innovation":[4],"(FRI)":[5],"sampling":[6,14],"theory":[7],"offers":[8],"a":[9,62,102,140],"pathway":[10],"for":[11,45,116,125],"the":[12,20,30,34,47,55,73,77,83,90,129,156,172,180],"sub-Nyquist":[13],"nonbandlimited":[16],"parametric":[17],"signals.":[18],"However,":[19],"successful":[21],"application":[22],"FRI-based":[24],"techniques":[25],"requires":[26],"prior":[27],"knowledge":[28],"model":[31,48,80,127,185],"order":[32,49,81,186],"parameterized":[35],"signal":[36,135],"being":[37],"sampled.":[38],"This":[39],"article":[40],"presents":[41],"an":[42,67,113],"efficient":[43,114],"method":[44,177],"measuring":[46,126],"FRI":[51],"signals":[52],"by":[53,94],"leveraging":[54],"low-rank":[56],"features":[57],"Toeplitz":[59,91],"matrices.":[60],"In":[61,96],"noisy":[63,189],"environment,":[64],"we":[65,100],"conduct":[66],"initial":[68],"analysis":[69],"and":[70,148,153,168,171,182],"identify":[71],"that":[72,175],"key":[74],"factor":[75],"affecting":[76],"estimation":[78,187],"is":[82],"problem":[84],"small":[86],"singular":[87,117],"values":[88],"in":[89,188],"matrix":[92],"caused":[93],"noise.":[95],"response":[97],"to":[98,122],"this,":[99],"present":[101],"plug-and-play":[103],"convolutional":[104],"neural":[105],"networks":[106],"(CNNs)-based":[107],"denoising":[108],"module":[109],"as":[110,112],"well":[111],"algorithm":[115],"value":[118],"rectification":[119],"(SVR).":[120],"Compared":[121],"classical":[123],"methods":[124],"order,":[128],"proposed":[130,143],"approach":[131,164],"does":[132],"not":[133],"require":[134],"reconstruction":[136],"or":[137],"resampling.":[138],"As":[139],"result,":[141],"our":[142,163,176],"technique":[144],"has":[145],"lower":[146],"complexity":[147],"achieves":[149],"significantly":[150],"improved":[151],"accuracy":[152,181],"efficiency":[154],"under":[155],"same":[157],"signal-to-noise":[158],"ratio":[159],"(SNR).":[160],"We":[161],"validate":[162],"through":[165],"simulation":[166],"experiments":[167],"hardware":[169],"testing,":[170],"results":[173],"demonstrate":[174],"substantially":[178],"enhances":[179],"robustness":[183],"environments.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}