乐胖代购免代理版

{"id":"https://openalex.org/W3001950993","doi":"https://doi.org/10.1109/lcomm.2020.2967365","title":"Denoising of Radar Pulse Streams With Autoencoders","display_name":"Denoising of Radar Pulse Streams With Autoencoders","publication_year":2020,"publication_date":"2020-01-22","ids":{"openalex":"https://openalex.org/W3001950993","doi":"https://doi.org/10.1109/lcomm.2020.2967365","mag":"3001950993"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2967365","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310319808","https://openalex.org/P4310316002"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers","IEEE Communications Society"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5028578817","display_name":"Xueqiong Li","orcid":"https://orcid.org/0000-0002-2364-4947"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqiong Li","raw_affiliation_strings":["Department of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046860299","display_name":"Zhang\u2010Meng Liu","orcid":"https://orcid.org/0000-0001-9472-279X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang-Meng Liu","raw_affiliation_strings":["Department of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101706871","display_name":"Zhitao Huang","orcid":"https://orcid.org/0000-0001-7135-5181"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitao Huang","raw_affiliation_strings":["Department of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.343,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.999938,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"24","issue":"4","first_page":"797","last_page":"801"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9978,"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":0.9978,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9927,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9915,"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/autoencoder","display_name":"Autoencoder","score":0.7890217},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47894484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79281723},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7890217},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6582255},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6358109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.54164726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.51389027},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.48765194},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47894484},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4088531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37886095},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32416666},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20202452},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2967365","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310319808","https://openalex.org/P4310316002"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers","IEEE Communications Society"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.65}],"grants":[{"funder":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province","award_id":"2019JJ10004"}],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W1643560957","https://openalex.org/W1745334888","https://openalex.org/W1996021349","https://openalex.org/W2000424290","https://openalex.org/W2015242484","https://openalex.org/W2018332268","https://openalex.org/W2034503244","https://openalex.org/W2097073572","https://openalex.org/W2098395403","https://openalex.org/W2118534224","https://openalex.org/W2123453665","https://openalex.org/W2125056386","https://openalex.org/W2137577808","https://openalex.org/W2165015795","https://openalex.org/W2188956040","https://openalex.org/W2272752931","https://openalex.org/W2692005274","https://openalex.org/W2761434131","https://openalex.org/W2895211628","https://openalex.org/W2919013218","https://openalex.org/W2952229419","https://openalex.org/W2997791733","https://openalex.org/W3140023739","https://openalex.org/W830076066"],"related_works":["https://openalex.org/W4386815338","https://openalex.org/W4297051394","https://openalex.org/W3131327266","https://openalex.org/W3037110488","https://openalex.org/W3013693939","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W2145836866"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"cases":[3],"in":[4,11,156],"which":[5],"the":[6,9,20,26,33,52,66,88,95,105,126,149],"noise":[7,21,36],"corrupts":[8],"signals":[10,27],"a":[12,48,76,111,116,153],"significant":[13],"manner.":[14],"To":[15],"better":[16,154],"analyze":[17],"these":[18],"signals,":[19],"must":[22],"be":[23],"removed":[24],"from":[25,59],"for":[28,85],"further":[29],"data":[30],"analysis,":[31],"and":[32,79,101,162],"process":[34],"of":[35,61,93],"removal":[37],"is":[38,72,91],"referred":[39],"to":[40,51],"as":[41,115,118],"denoising.":[42],"In":[43,147],"this":[44],"letter,":[45],"we":[46],"propose":[47],"novel":[49],"approach":[50],"pulse":[53,136],"denoising":[54],"problem":[55],"by":[56],"extracting":[57],"features":[58],"time":[60],"arrival":[62],"(TOA)":[63],"sequences":[64,133],"using":[65],"autoencoders.":[67,121],"The":[68],"noise-contaminated":[69],"TOA":[70,97,113,132],"sequence":[71,98,114],"first":[73],"coded":[74],"into":[75,82],"binary":[77],"vector":[78],"then":[80],"fed":[81],"an":[83],"autoencoder":[84,90],"training.":[86],"Then,":[87],"trained":[89],"capable":[92],"generating":[94],"original":[96],"without":[99],"lost":[100],"spurious":[102],"pulses.":[103],"Moreover,":[104],"proposed":[106,150],"method":[107,151],"does":[108],"not":[109,143],"require":[110],"noise-free":[112],"priori":[117],"with":[119,131,134],"conventional":[120,160],"Simulation":[122],"results":[123],"show":[124],"that":[125,141],"new":[127],"technique":[128],"can":[129],"deal":[130],"complex":[135],"repetition":[137],"interval":[138],"(PRI)":[139],"modes":[140],"have":[142],"been":[144],"tackled":[145],"before.":[146],"addition,":[148],"has":[152],"performance":[155],"noisy":[157],"environments":[158],"than":[159],"methods":[161],"general":[163],"deep":[164],"neural":[165],"network":[166],"structures.":[167]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3001950993","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2024-12-12T01:45:34.000820","created_date":"2020-01-30"}