{"id":"https://openalex.org/W3038961524","doi":"https://doi.org/10.1109/vtc2020-spring48590.2020.9129467","title":"Robust Clipping Noise Cancellation Based on Location-Aware Compressed Sensing","display_name":"Robust Clipping Noise Cancellation Based on Location-Aware Compressed Sensing","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3038961524","doi":"https://doi.org/10.1109/vtc2020-spring48590.2020.9129467","mag":"3038961524"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2020-spring48590.2020.9129467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2020-spring48590.2020.9129467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","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/A5100441855","display_name":"Xudong Zhang","orcid":"https://orcid.org/0000-0002-6465-7437"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xudong Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020916256","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0001-6042-1219"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101770687","display_name":"Xiaohua Chang","orcid":"https://orcid.org/0000-0003-4705-0112"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Chang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091339020","display_name":"Yichen Wu","orcid":"https://orcid.org/0000-0003-2859-3285"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Wu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102168056","display_name":"Changyong Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyong Pan","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100441855"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07403754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9998000264167786,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.8476186394691467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7739460468292236},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6884287595748901},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5943372249603271},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48389729857444763},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.45760321617126465},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.42940834164619446},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4214616119861603},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40238937735557556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39426130056381226},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3419584035873413},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.23396366834640503},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2048899233341217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17155930399894714},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1121244728565216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10320460796356201},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.07628500461578369}],"concepts":[{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.8476186394691467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7739460468292236},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6884287595748901},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5943372249603271},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48389729857444763},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.45760321617126465},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.42940834164619446},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4214616119861603},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40238937735557556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39426130056381226},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3419584035873413},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.23396366834640503},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2048899233341217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17155930399894714},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1121244728565216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10320460796356201},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.07628500461578369},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2020-spring48590.2020.9129467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2020-spring48590.2020.9129467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1988674613","https://openalex.org/W2039828894","https://openalex.org/W2078512736","https://openalex.org/W2082134301","https://openalex.org/W2100037283","https://openalex.org/W2120390488","https://openalex.org/W2127271355","https://openalex.org/W2152744465","https://openalex.org/W2154558827","https://openalex.org/W2164452299","https://openalex.org/W2296616510","https://openalex.org/W2491013114","https://openalex.org/W2521973939","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W4206981968","https://openalex.org/W1987102304","https://openalex.org/W2308961925","https://openalex.org/W2601968125","https://openalex.org/W4285251805","https://openalex.org/W2102910599"],"abstract_inverted_index":{"For":[0],"OFDM":[1],"systems,":[2],"to":[3,50,63,114],"cope":[4],"with":[5],"the":[6,55,66,69,73,83,85,90,99,115,122],"remain":[7],"problems":[8],"of":[9,75],"high":[10],"complexity":[11,118],"and":[12,30,44,68,79,92,119],"low":[13,107,116],"performance":[14,104],"in":[15,35,106,128],"conventional":[16],"clipping":[17,56,70,76],"noise":[18,57],"cancellation":[19],"methods,":[20],"a":[21,42],"robust":[22],"scheme":[23,87,101,124],"based":[24],"on":[25,39],"location-aware":[26],"compressed":[27],"sensing":[28],"(CS)":[29],"phase":[31,80],"correction":[32],"is":[33,48,61,125],"proposed":[34,86,100,123],"this":[36],"paper.":[37],"Based":[38],"CS":[40],"theory,":[41],"simple":[43],"configurable":[45],"selection":[46],"criterion":[47],"utilized":[49],"choose":[51],"reliable":[52],"observations":[53],"for":[54],"reconstruction.":[58],"The":[59],"transceiver":[60],"redesigned":[62],"transmit":[64],"both":[65,89],"data":[67],"location.":[71],"With":[72],"aid":[74],"location":[77],"information":[78,81],"from":[82],"receiver,":[84],"improves":[88],"accuracy":[91],"computational":[93,117],"complexity.":[94],"Simulation":[95],"results":[96],"show":[97],"that":[98],"achieves":[102],"excellent":[103,120],"even":[105],"signal-to-noise":[108],"ratio":[109],"(SNR)":[110],"environments.":[111],"Besides,":[112],"due":[113],"adaptivity,":[121],"more":[126],"feasible":[127],"practical":[129],"engineering":[130],"applications":[131],"than":[132],"other":[133],"CS-based":[134],"methods.":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}