{"id":"https://openalex.org/W2596729647","doi":"https://doi.org/10.1109/lsp.2017.2683535","title":"Multichannel Consistent Sampling and Reconstruction Associated With Linear Canonical Transform","display_name":"Multichannel Consistent Sampling and Reconstruction Associated With Linear Canonical Transform","publication_year":2017,"publication_date":"2017-03-16","ids":{"openalex":"https://openalex.org/W2596729647","doi":"https://doi.org/10.1109/lsp.2017.2683535","mag":"2596729647"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2017.2683535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2683535","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5100909793","display_name":"Liyun Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liyun Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Beijing Institute of Technology, Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Beijing Institute of Technology, Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067803447","display_name":"Ran Tao","orcid":"https://orcid.org/0000-0002-5243-7189"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Tao","raw_affiliation_strings":["Department of Electronic Engineering, Beijing Institute of Technology, Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Beijing Institute of Technology, Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100784476","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0003-2643-6446"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Beijing Institute of Technology, Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Beijing Institute of Technology, Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100909793"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":4.8746,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95517086,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"5","first_page":"658","last_page":"662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973999857902527,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9907000064849854,"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/signal-reconstruction","display_name":"Signal reconstruction","score":0.7668864727020264},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6021870374679565},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5046476125717163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46742483973503113},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.46049124002456665},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.44520068168640137},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44260168075561523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43167755007743835},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42278528213500977},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3724544048309326},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.32740554213523865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2488287389278412},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.21213364601135254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2004823088645935},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18030515313148499}],"concepts":[{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.7668864727020264},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6021870374679565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5046476125717163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46742483973503113},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.46049124002456665},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.44520068168640137},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44260168075561523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43167755007743835},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42278528213500977},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3724544048309326},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.32740554213523865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2488287389278412},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.21213364601135254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2004823088645935},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18030515313148499},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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":1,"locations":[{"id":"doi:10.1109/lsp.2017.2683535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2683535","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7799999713897705,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4639895821","display_name":null,"funder_award_id":"61421001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6952756739","display_name":null,"funder_award_id":"61331021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7315783478","display_name":null,"funder_award_id":"61571042","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W606473257","https://openalex.org/W1969667406","https://openalex.org/W1977433593","https://openalex.org/W1999198554","https://openalex.org/W2009241385","https://openalex.org/W2018609850","https://openalex.org/W2020165608","https://openalex.org/W2032168658","https://openalex.org/W2044516693","https://openalex.org/W2088188946","https://openalex.org/W2105775492","https://openalex.org/W2109843992","https://openalex.org/W2112502349","https://openalex.org/W2125427453","https://openalex.org/W2137004435","https://openalex.org/W2146262488","https://openalex.org/W2169103119","https://openalex.org/W2170182872","https://openalex.org/W2508224038"],"related_works":["https://openalex.org/W1017090552","https://openalex.org/W2123195949","https://openalex.org/W2054047433","https://openalex.org/W3190154454","https://openalex.org/W2545081564","https://openalex.org/W2115351670","https://openalex.org/W4205743617","https://openalex.org/W2002495280","https://openalex.org/W2163930416","https://openalex.org/W2083044267"],"abstract_inverted_index":{"Multichannel":[0],"sampling":[1,22,56,66],"is":[2,67,113],"fundamental":[3],"in":[4],"the":[5,19,26,33,36,39,51,54,59,77,91,96,105,109],"theory":[6,23],"of":[7,35,41,50,108],"multichannel":[8,20],"parallel":[9],"analog-to-digital":[10],"converters":[11],"and":[12,38,75,95],"multiplexing":[13],"wireless":[14],"communication.":[15],"This":[16],"letter":[17],"investigates":[18],"consistent":[21,65],"associated":[24],"with":[25],"linear":[27,97],"canonical":[28,98],"transform,":[29],"which":[30],"can":[31],"combine":[32],"reconstruction":[34,52,87,93,106],"signal":[37,74,112],"correction":[40],"sensor":[42],"distortions.":[43],"The":[44,64],"consistency":[45],"requests":[46],"that":[47],"a":[48],"resampling":[49],"by":[53],"original":[55],"operation":[57],"yields":[58],"same":[60],"measurements":[61],"as":[62,80],"before.":[63],"applicable":[68],"to":[69],"an":[70],"arbitrary":[71],"finite":[72],"energy":[73],"without":[76],"constraint":[78],"such":[79],"band-limiting.":[81],"Under":[82],"this":[83],"circumstance,":[84],"two":[85],"effective":[86],"methods":[88],"based":[89],"on":[90],"shift-invariant":[92],"space":[94,101],"basis":[99],"functions":[100],"are":[102],"developed.":[103],"Finally,":[104],"experiment":[107],"radar":[110],"echo":[111],"presented.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
