{"id":"https://openalex.org/W4386241414","doi":"https://doi.org/10.1186/s13634-023-01051-w","title":"Nonuniform sampling and reconstruction of Diracs signal associated with linear canonical transform and its application","display_name":"Nonuniform sampling and reconstruction of Diracs signal associated with linear canonical transform and its application","publication_year":2023,"publication_date":"2023-08-29","ids":{"openalex":"https://openalex.org/W4386241414","doi":"https://doi.org/10.1186/s13634-023-01051-w"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-023-01051-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13634-023-01051-w","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01051-w","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01051-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023751589","display_name":"Liyun Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liyun Xu","raw_affiliation_strings":["Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","School of Computer and Information Technology, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101482018","display_name":"Wei Li","orcid":"https://orcid.org/0009-0008-7652-3824"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","School of Computer and Information Technology, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023751589"],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17498263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.988099992275238,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7556201219558716},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.716634213924408},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6841962337493896},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.6181093454360962},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5916091799736023},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4921974241733551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48742154240608215},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4777050018310547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4593179225921631},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.44727686047554016},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.42257630825042725},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.338600218296051},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19268915057182312},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.15950793027877808},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13880980014801025},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.05556318163871765}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7556201219558716},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.716634213924408},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6841962337493896},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.6181093454360962},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5916091799736023},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4921974241733551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48742154240608215},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4777050018310547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4593179225921631},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.44727686047554016},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.42257630825042725},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.338600218296051},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19268915057182312},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.15950793027877808},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13880980014801025},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.05556318163871765},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-023-01051-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13634-023-01051-w","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01051-w","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:65142d0ffad84c849255a1617e882a84","is_oa":true,"landing_page_url":"https://doaj.org/article/65142d0ffad84c849255a1617e882a84","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-14 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-023-01051-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13634-023-01051-w","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01051-w","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2869900018","display_name":null,"funder_award_id":"61901248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6254371459","display_name":null,"funder_award_id":"61901248","funder_id":"https://openalex.org/F4320335581","funder_display_name":"Young Scientists Fund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null},{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386241414.pdf","grobid_xml":"https://content.openalex.org/works/W4386241414.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1490655676","https://openalex.org/W1977433593","https://openalex.org/W2002495280","https://openalex.org/W2018303897","https://openalex.org/W2018493546","https://openalex.org/W2018609850","https://openalex.org/W2032168658","https://openalex.org/W2089703492","https://openalex.org/W2109843992","https://openalex.org/W2113114772","https://openalex.org/W2138787877","https://openalex.org/W2146262488","https://openalex.org/W2146440704","https://openalex.org/W2158537680","https://openalex.org/W2170182872","https://openalex.org/W2508224038","https://openalex.org/W2596729647","https://openalex.org/W2609523009","https://openalex.org/W2741373247","https://openalex.org/W2783813265","https://openalex.org/W2990723129","https://openalex.org/W3018900045","https://openalex.org/W3166900610","https://openalex.org/W3167902381","https://openalex.org/W4210336070","https://openalex.org/W4210734973","https://openalex.org/W4226197404","https://openalex.org/W4226371249","https://openalex.org/W4313531702"],"related_works":["https://openalex.org/W1017090552","https://openalex.org/W2054047433","https://openalex.org/W2123195949","https://openalex.org/W3190154454","https://openalex.org/W2545081564","https://openalex.org/W4205743617","https://openalex.org/W2115351670","https://openalex.org/W2002495280","https://openalex.org/W2163930416","https://openalex.org/W2083044267"],"abstract_inverted_index":{"Abstract":[0],"Sampling":[1],"and":[2,35,115,119],"reconstruction":[3,36,82,113],"play":[4],"a":[5],"critical":[6],"role":[7],"in":[8,40,55,73],"signal":[9,39,52,72,85],"processing.":[10],"The":[11,50,67],"non-ideal":[12,28],"sampling":[13,20,34,68,98],"conditions":[14],"motivate":[15],"the":[16,19,32,41,56,61,70,74,81,84,96,105,109,112,116,123,126],"development":[17],"of":[18,37,64,69,83,111,125],"theory.":[21],"In":[22],"this":[23],"paper,":[24],"associated":[25],"with":[26,47,86],"multiple":[27],"conditions,":[29],"we":[30],"discuss":[31],"nonuniform":[33,88,97],"nonbandlimited":[38,54],"linear":[42],"canonical":[43],"transform":[44],"(LCT)":[45],"domain":[46,58,76],"finite":[48,62,87],"samples.":[49],"Diracs":[51,71],"is":[53,77,90],"LCT":[57,75],"but":[59],"has":[60],"rate":[63],"innovation":[65],"property.":[66],"analyzed":[78],"firstly.":[79],"Secondly,":[80],"samples":[89],"discussed,":[91],"including":[92],"two":[93],"cases":[94],"where":[95],"instants":[99],"are":[100],"known":[101],"or":[102],"unknown.":[103],"Finally,":[104],"numerical":[106],"experiment":[107],"verifies":[108],"effect":[110],"algorithm,":[114],"potential":[117],"applications":[118],"generalized":[120],"analysis":[121],"indicate":[122],"value":[124],"research.":[127]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}