{"id":"https://openalex.org/W2594151784","doi":"https://doi.org/10.1109/tim.2017.2665983","title":"Random Triggering-Based Sub-Nyquist Sampling System for Sparse Multiband Signal","display_name":"Random Triggering-Based Sub-Nyquist Sampling System for Sparse Multiband Signal","publication_year":2017,"publication_date":"2017-03-02","ids":{"openalex":"https://openalex.org/W2594151784","doi":"https://doi.org/10.1109/tim.2017.2665983","mag":"2594151784"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2017.2665983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2017.2665983","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/A5067603229","display_name":"Yijiu Zhao","orcid":"https://orcid.org/0000-0002-5654-4379"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yijiu Zhao","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721274","display_name":"Yu Hen Hu","orcid":"https://orcid.org/0000-0003-3427-0677"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Hen Hu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415410","display_name":"Jingjing Liu","orcid":"https://orcid.org/0000-0001-7186-6694"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Liu","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067603229"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":17.2871,"has_fulltext":false,"cited_by_count":116,"citation_normalized_percentile":{"value":0.99750145,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"66","issue":"7","first_page":"1789","last_page":"1797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9987999796867371,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9983999729156494,"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/compressed-sensing","display_name":"Compressed sensing","score":0.8361856937408447},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.7755692601203918},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.7153667211532593},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6607356667518616},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.62892746925354},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6275632381439209},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.6008133888244629},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.5697434544563293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5146445035934448},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4808005392551422},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46342790126800537},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.43199366331100464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3336013853549957},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3308901786804199},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3262374997138977},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22457170486450195},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.2213265299797058},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.20648512244224548},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18426454067230225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11644947528839111}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8361856937408447},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.7755692601203918},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.7153667211532593},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6607356667518616},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.62892746925354},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6275632381439209},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6008133888244629},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.5697434544563293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5146445035934448},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4808005392551422},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46342790126800537},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.43199366331100464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3336013853549957},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3308901786804199},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3262374997138977},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22457170486450195},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.2213265299797058},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.20648512244224548},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18426454067230225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11644947528839111},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2017.2665983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2017.2665983","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":[],"awards":[{"id":"https://openalex.org/G2304182526","display_name":null,"funder_award_id":"61671114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4834616744","display_name":null,"funder_award_id":"61301264","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1510801007","https://openalex.org/W1572162988","https://openalex.org/W1899973699","https://openalex.org/W1976695026","https://openalex.org/W1980300788","https://openalex.org/W1981950532","https://openalex.org/W1993784401","https://openalex.org/W2030449718","https://openalex.org/W2051239825","https://openalex.org/W2061158652","https://openalex.org/W2084810455","https://openalex.org/W2091032074","https://openalex.org/W2102674458","https://openalex.org/W2114129195","https://openalex.org/W2120736264","https://openalex.org/W2123629701","https://openalex.org/W2129918728","https://openalex.org/W2141116650","https://openalex.org/W2144629633","https://openalex.org/W2145096794","https://openalex.org/W2147993722","https://openalex.org/W2151617594","https://openalex.org/W2157539690","https://openalex.org/W2201114316","https://openalex.org/W2472982063","https://openalex.org/W2533057217","https://openalex.org/W3105814478","https://openalex.org/W4250955649","https://openalex.org/W6720915283"],"related_works":["https://openalex.org/W2597046159","https://openalex.org/W2379468505","https://openalex.org/W2054047433","https://openalex.org/W2981006997","https://openalex.org/W2022193990","https://openalex.org/W1973881903","https://openalex.org/W2096995356","https://openalex.org/W3010520415","https://openalex.org/W2981120188","https://openalex.org/W2391363693"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,155],"novel":[3],"random":[4,40,103],"triggering-based":[5],"modulated":[6,117],"wideband":[7,24,118],"compressive":[8,19,111],"sampling":[9,20,105,112,139,156],"(RT-MWCS)":[10],"method":[11,57],"to":[12,42,58,108],"facilitate":[13],"efficient":[14],"realization":[15],"of":[16,45,63,83,93,137,167],"sub-Nyquist":[17],"rate":[18,157],"systems":[21],"for":[22,145],"sparse":[23,85,146],"signals.":[25],"Under":[26],"the":[27,30,46,60,64,67,71,91,109,135],"assumption":[28],"that":[29],"signal":[31,47,65,72,87,148,168],"is":[32,74,88,122],"repetitively":[33],"(not":[34],"necessarily":[35],"periodically)":[36],"triggered,":[37],"RT-MWCS":[38,121,153],"uses":[39,53],"modulation":[41],"obtain":[43],"measurements":[44],"at":[48,134],"randomly":[49],"chosen":[50],"positions.":[51],"It":[52],"multiple":[54],"measurement":[55],"vector":[56],"estimate":[59],"nonzero":[61],"supports":[62],"in":[66,102],"frequency":[68],"domain.":[69],"Then,":[70],"spectrum":[73],"solved":[75],"using":[76],"least":[77],"square":[78],"estimation.":[79],"The":[80],"distinct":[81],"ability":[82],"estimating":[84],"multiband":[86,147],"facilitated":[89],"with":[90,123,131,149],"use":[92],"level":[94],"triggering":[95],"and":[96,127],"time-to-digital":[97],"converter":[98,119],"devices":[99],"previously":[100],"used":[101],"equivalent":[104],"scheme.":[106],"Compared":[107],"existing":[110],"(CS)":[113],"techniques,":[114],"such":[115],"as":[116],"(MWC),":[120],"simple":[124],"system":[125],"architecture":[126],"can":[128],"be":[129],"implemented":[130],"one":[132],"channel":[133],"cost":[136],"more":[138],"time.":[140],"Experimental":[141],"results":[142],"indicate":[143],"that,":[144],"unknown":[150],"spectral":[151],"support,":[152],"requires":[154],"much":[158],"lower":[159],"than":[160],"Nyquist":[161],"rate,":[162],"while":[163],"giving":[164],"great":[165],"quality":[166],"reconstruction.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}