{"id":"https://openalex.org/W3045722099","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148174","title":"Cross-term suppression of multi-component signals based on improved STFT-Wigner","display_name":"Cross-term suppression of multi-component signals based on improved STFT-Wigner","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045722099","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148174","mag":"3045722099"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5011020522","display_name":"Qianqian Zhu","orcid":"https://orcid.org/0009-0008-6963-3355"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianqian Zhu","raw_affiliation_strings":["College of Electronic Engineering, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621538","display_name":"Yue Li","orcid":"https://orcid.org/0000-0001-5482-6244"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]},{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["College of Electronic Engineering, the Key Laboratory of Police Wireless Digital Communication, Heilongjiang University, Ministry of Public Security, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, the Key Laboratory of Police Wireless Digital Communication, Heilongjiang University, Ministry of Public Security, Harbin, China","institution_ids":["https://openalex.org/I1302611135","https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059723326","display_name":"Hongchang He","orcid":null},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchang He","raw_affiliation_strings":["College of Electronic Engineering, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101624451","display_name":"Gang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Huang","raw_affiliation_strings":["College of Electronic Engineering, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011020522"],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07395644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":"1082","last_page":"1086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9986000061035156,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.6996709704399109},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.6203227043151855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6122003197669983},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5883722901344299},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5848379135131836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5789785385131836},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5751017332077026},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.561531126499176},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5482535362243652},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.48066437244415283},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4387257695198059},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.42720091342926025},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.41280290484428406},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.41084885597229004},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38369542360305786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33184462785720825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.324876606464386},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.2825527489185333},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13686922192573547},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1255987584590912},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.07002708315849304}],"concepts":[{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.6996709704399109},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6203227043151855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6122003197669983},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5883722901344299},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5848379135131836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5789785385131836},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5751017332077026},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.561531126499176},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5482535362243652},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.48066437244415283},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4387257695198059},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.42720091342926025},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.41280290484428406},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.41084885597229004},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38369542360305786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33184462785720825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.324876606464386},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.2825527489185333},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13686922192573547},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1255987584590912},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.07002708315849304},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2051070821","https://openalex.org/W2100620757","https://openalex.org/W2102372511","https://openalex.org/W2108305838","https://openalex.org/W2165878107","https://openalex.org/W3165898261","https://openalex.org/W4309573029"],"related_works":["https://openalex.org/W2980984853","https://openalex.org/W2326454079","https://openalex.org/W564939545","https://openalex.org/W2533590149","https://openalex.org/W3167466058","https://openalex.org/W2964898233","https://openalex.org/W4293267999","https://openalex.org/W2560154230","https://openalex.org/W2029494570","https://openalex.org/W2129331087"],"abstract_inverted_index":{"Cross-term":[0],"interference":[1],"exists":[2],"in":[3,9,101],"the":[4,13,40,46,53,58,63,67,71,77],"WVD":[5],"of":[6,60,70],"multi-component":[7],"signals":[8,23],"time-frequency":[10,68,82],"analysis,":[11],"and":[12,56,65],"STFT":[14],"is":[15,93],"limited":[16],"by":[17],"Heisenberg":[18],"uncertainty":[19],"criterion.":[20],"For":[21],"multicomponent":[22],"under":[24],"noisy":[25],"background,":[26],"this":[27],"paper":[28],"proposes":[29],"an":[30],"improved":[31,78],"STFT-Wigner":[32],"algorithm,":[33,48],"which":[34],"establishes":[35],"a":[36],"threshold":[37],"based":[38],"on":[39,62],"exponential":[41],"multiplication":[42],"result":[43],"compared":[44],"to":[45,51,95],"original":[47],"so":[49],"as":[50],"weaken":[52],"cross":[54],"term":[55],"reduce":[57],"impact":[59],"noise":[61],"signal,":[64],"improve":[66],"aggregation":[69,83],"signal.":[72],"Simulation":[73],"results":[74],"show":[75],"that":[76],"algorithm":[79],"has":[80],"higher":[81],"than":[84],"other":[85,97],"methods.":[86],"Similarly,":[87],"for":[88],"cross-term":[89],"suppression,":[90],"our":[91],"method":[92],"superior":[94],"many":[96],"TF":[98],"analysis":[99],"methods":[100],"low":[102],"signal-to-noise":[103],"ratio":[104],"(SNR)":[105],"environment.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}