{"id":"https://openalex.org/W2969763855","doi":"https://doi.org/10.1109/hpsr.2019.8808112","title":"Study on Improved Singular Value Decomposition De-noising Method Applied to UAV Flight Parameter Data","display_name":"Study on Improved Singular Value Decomposition De-noising Method Applied to UAV Flight Parameter Data","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2969763855","doi":"https://doi.org/10.1109/hpsr.2019.8808112","mag":"2969763855"},"language":"en","primary_location":{"id":"doi:10.1109/hpsr.2019.8808112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpsr.2019.8808112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 20th International Conference on High Performance Switching and Routing (HPSR)","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/A5109518512","display_name":"Yuqian Wang","orcid":"https://orcid.org/0000-0002-3816-8007"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqian Wang","raw_affiliation_strings":["Air Force Engineering University, Xi'an, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University, Xi'an, Shanxi, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324380","display_name":"Heng Chen","orcid":"https://orcid.org/0000-0001-7446-4172"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Chen","raw_affiliation_strings":["School of Science, Xijing University, Xi'an, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xijing University, Xi'an, Shanxi, China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107846607","display_name":"Dawei He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei He","raw_affiliation_strings":["Air Force Engineering University, Xi'an, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University, Xi'an, Shanxi, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006137222","display_name":"Jingbo Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingbo Peng","raw_affiliation_strings":["Air Force Engineering University, Xi'an, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University, Xi'an, Shanxi, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629588","display_name":"Baoxi Yuan","orcid":"https://orcid.org/0000-0002-5220-879X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baoxi Yuan","raw_affiliation_strings":["Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, Shanxi, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037570685","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-2588-7245"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, Shanxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2034,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54074354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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":0.9977999925613403,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7975634336471558},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.7914638519287109},{"id":"https://openalex.org/keywords/singular-spectrum-analysis","display_name":"Singular spectrum analysis","score":0.7381492257118225},{"id":"https://openalex.org/keywords/singularity","display_name":"Singularity","score":0.5898208618164062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.521953284740448},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4788534641265869},{"id":"https://openalex.org/keywords/hankel-matrix","display_name":"Hankel matrix","score":0.4786345064640045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44322431087493896},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44086629152297974},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.4389430284500122},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43810662627220154},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43775635957717896},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4217411279678345},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4050161838531494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34324541687965393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18962746858596802},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1833120584487915},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10471439361572266},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08480846881866455},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07411554455757141}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7975634336471558},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.7914638519287109},{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.7381492257118225},{"id":"https://openalex.org/C16171025","wikidata":"https://www.wikidata.org/wiki/Q863349","display_name":"Singularity","level":2,"score":0.5898208618164062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.521953284740448},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4788534641265869},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.4786345064640045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44322431087493896},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44086629152297974},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.4389430284500122},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43810662627220154},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43775635957717896},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4217411279678345},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4050161838531494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34324541687965393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18962746858596802},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1833120584487915},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10471439361572266},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08480846881866455},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07411554455757141},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpsr.2019.8808112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpsr.2019.8808112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 20th International Conference on High Performance Switching and Routing (HPSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1596914020","https://openalex.org/W1982452270","https://openalex.org/W2084815594","https://openalex.org/W2110121428","https://openalex.org/W2120390927","https://openalex.org/W2143796095","https://openalex.org/W2320776753","https://openalex.org/W2963103847","https://openalex.org/W3085206360"],"related_works":["https://openalex.org/W2150699280","https://openalex.org/W2038393145","https://openalex.org/W1997246199","https://openalex.org/W2289145870","https://openalex.org/W2107595860","https://openalex.org/W4285156762","https://openalex.org/W4241783538","https://openalex.org/W3200162719","https://openalex.org/W2004912077","https://openalex.org/W2085555817"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,13,46,54,68,75,88,98],"noise":[3],"problem":[4],"of":[5,40,56,61,91],"unmanned":[6],"aerial":[7],"vehicle":[8],"(UAV)":[9],"flight":[10,95],"parameter":[11,96],"data,":[12,97],"paper":[14],"proposed":[15,50,99],"an":[16],"effective":[17,62],"singular":[18,41,63,69,80],"value":[19,64,81],"decomposition":[20],"method":[21,100],"optimized":[22],"by":[23,35,66],"chaos":[24],"ratio":[25],"bat":[26,31],"algorithm":[27,32,51],"(CRBA).":[28],"The":[29,59],"basic":[30],"is":[33,43,101],"improved":[34],"using":[36,67],"sigmoidal":[37],"map,":[38],"energy":[39],"values":[42],"taken":[44],"as":[45],"objective":[47],"function":[48],"in":[49],"to":[52,87,103],"optimize":[53],"structure":[55],"Hankel":[57],"matrix.":[58],"number":[60],"determined":[65],"value's":[70],"singularity":[71],"detection":[72],"ability,":[73],"and":[74,82,94,110],"de-noised":[76],"data":[77],"obtained":[78],"from":[79],"its":[83],"corresponding":[84],"vector.":[85],"According":[86],"experiment":[89],"results":[90],"linear":[92,111],"signal":[93],"applicable":[102],"nonlinear":[104],"signals":[105],"without":[106],"obvious":[107],"characteristic":[108],"frequency":[109],"signal,":[112],"which":[113],"has":[114],"good":[115],"denoising":[116],"results.":[117]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}