{"id":"https://openalex.org/W2484504770","doi":"https://doi.org/10.1109/meco.2016.7525719","title":"Unaliasing of undersampled spectra","display_name":"Unaliasing of undersampled spectra","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2484504770","doi":"https://doi.org/10.1109/meco.2016.7525719","mag":"2484504770"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2016.7525719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2016.7525719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","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/A5058948510","display_name":"Vladislav Lesnikov","orcid":"https://orcid.org/0000-0002-5034-291X"},"institutions":[{"id":"https://openalex.org/I4210103655","display_name":"Vyatka State University","ror":"https://ror.org/01anxqg21","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210103655"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"V. Lesnikov","raw_affiliation_strings":["Department of Radio Electronic Aids, Vyatka State University, Kirov, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Radio Electronic Aids, Vyatka State University, Kirov, Russia","institution_ids":["https://openalex.org/I4210103655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063881678","display_name":"Tatiana Naumovich","orcid":"https://orcid.org/0000-0002-3659-2664"},"institutions":[{"id":"https://openalex.org/I4210103655","display_name":"Vyatka State University","ror":"https://ror.org/01anxqg21","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210103655"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"T. Naumovich","raw_affiliation_strings":["Department of Radio Electronic Aids, Vyatka State University, Kirov, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Radio Electronic Aids, Vyatka State University, Kirov, Russia","institution_ids":["https://openalex.org/I4210103655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001942583","display_name":"Alexander Chastikov","orcid":"https://orcid.org/0000-0002-1998-7787"},"institutions":[{"id":"https://openalex.org/I4210103655","display_name":"Vyatka State University","ror":"https://ror.org/01anxqg21","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210103655"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"A. Chastikov","raw_affiliation_strings":["Department of Radio Electronic Aids, Vyatka State University, Kirov, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Radio Electronic Aids, Vyatka State University, Kirov, Russia","institution_ids":["https://openalex.org/I4210103655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036896270","display_name":"D. Garsh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103655","display_name":"Vyatka State University","ror":"https://ror.org/01anxqg21","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210103655"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"D. Garsh","raw_affiliation_strings":["Department of Radio Electronic Aids, Vyatka State University, Kirov, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Radio Electronic Aids, Vyatka State University, Kirov, Russia","institution_ids":["https://openalex.org/I4210103655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058948510"],"corresponding_institution_ids":["https://openalex.org/I4210103655"],"apc_list":null,"apc_paid":null,"fwci":0.16718238,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.58578101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13816","display_name":"Advanced Signal Processing Techniques","score":0.9929999709129333,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.9615964889526367},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.865981936454773},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.6832791566848755},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6756463050842285},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.6280349493026733},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.613693118095398},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5779052972793579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.518501877784729},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5132462978363037},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4703519344329834},{"id":"https://openalex.org/keywords/multidimensional-signal-processing","display_name":"Multidimensional signal processing","score":0.4687635600566864},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45396316051483154},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.4326656460762024},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.43032899498939514},{"id":"https://openalex.org/keywords/coherent-sampling","display_name":"Coherent sampling","score":0.42153531312942505},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.41623806953430176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39525726437568665},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.3635096549987793},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2092810571193695},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18252211809158325},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1566610038280487},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11406353116035461},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09292888641357422}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9615964889526367},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.865981936454773},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.6832791566848755},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6756463050842285},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6280349493026733},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.613693118095398},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5779052972793579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.518501877784729},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5132462978363037},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4703519344329834},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.4687635600566864},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45396316051483154},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.4326656460762024},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.43032899498939514},{"id":"https://openalex.org/C31942786","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Coherent sampling","level":4,"score":0.42153531312942505},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.41623806953430176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39525726437568665},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.3635096549987793},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2092810571193695},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18252211809158325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1566610038280487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11406353116035461},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09292888641357422},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco.2016.7525719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2016.7525719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.44999998807907104,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W251076585","https://openalex.org/W582533044","https://openalex.org/W1175499473","https://openalex.org/W1990774124","https://openalex.org/W1996255445","https://openalex.org/W1997674473","https://openalex.org/W2009147929","https://openalex.org/W2024754357","https://openalex.org/W2074380172","https://openalex.org/W2083321965","https://openalex.org/W2148909075","https://openalex.org/W2159028956","https://openalex.org/W2164390589","https://openalex.org/W2174108891","https://openalex.org/W4229897592","https://openalex.org/W4233665588"],"related_works":["https://openalex.org/W4235804032","https://openalex.org/W3128645236","https://openalex.org/W2035465670","https://openalex.org/W2147364447","https://openalex.org/W2155031694","https://openalex.org/W2115351670","https://openalex.org/W1988829363","https://openalex.org/W3041073827","https://openalex.org/W2546919528","https://openalex.org/W1534267839"],"abstract_inverted_index":{"One":[0],"of":[1,3,31,40,42,63,98,108,118,122,128,136,143,150,152,170,176],"parts":[2],"digital":[4,75],"signal":[5,76],"processing":[6,8,77],"is":[7,17,21,33,66,69,103,125,131,145,180],"with":[9],"undersampling.":[10],"In":[11,57,167],"this":[12,58],"case,":[13],"the":[14,24,29,43,53,55,64,96,115,120,141,153,157,171],"sampling":[15,25,91,138],"frequency":[16],"lower,":[18],"than":[19,95],"it":[20],"required":[22],"by":[23,35,147],"theorem.":[26],"At":[27,111],"undersampling,":[28],"spectrum":[30],"signals":[32],"distorted":[34],"an":[36,129],"aliasing.":[37],"Various":[38],"ways":[39,49],"correction":[41],"arising":[44],"distortions":[45],"are":[46,50,88,93,165],"known.":[47],"These":[48],"known":[51],"under":[52],"name":[54],"unaliasing.":[56],"article,":[59],"one":[60],"more":[61],"method":[62,102],"unaliasing":[65],"offered.":[67],"It":[68],"offered":[70,172],"to":[71,133,189],"carry":[72],"out":[73],"multirate":[74],"in":[78,80,85],"parallel":[79],"two":[81,137],"channels.":[82],"Sampling":[83],"frequencies":[84,92],"these":[86],"channels":[87],"various.":[89],"Both":[90],"less,":[94],"theorem":[97],"counting":[99],"demands.":[100],"The":[101,182],"based":[104],"on":[105,114],"consecutive":[106],"performance":[107],"several":[109],"stages.":[110],"each":[112],"stage":[113],"next":[116],"interval":[117,130,158],"frequencies,":[119],"part":[121],"a":[123,134,148,177],"range":[124,155,179],"restored.":[126],"Length":[127],"equal":[132],"difference":[135],"frequencies.":[139],"Therefore,":[140],"number":[142],"steps":[144],"defined":[146],"relationship":[149],"width":[151],"restored":[154],"and":[156],"size.":[159],"For":[160],"calculations,":[161],"only":[162],"subtraction":[163],"operations":[164],"required.":[166],"paper,":[168],"application":[169],"way":[173,184],"for":[174],"restoration":[175],"power":[178],"shown.":[181],"same":[183],"can":[185],"be":[186],"applied":[187],"also":[188],"complex":[190],"Fourier-spectrum.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}