{"id":"https://openalex.org/W3085362003","doi":"https://doi.org/10.1145/3408127.3408161","title":"Research on Weak Signal Detection Performance Based on Chaotic Image Intelligent Recognition","display_name":"Research on Weak Signal Detection Performance Based on Chaotic Image Intelligent Recognition","publication_year":2020,"publication_date":"2020-06-19","ids":{"openalex":"https://openalex.org/W3085362003","doi":"https://doi.org/10.1145/3408127.3408161","mag":"3085362003"},"language":"en","primary_location":{"id":"doi:10.1145/3408127.3408161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3408127.3408161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","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/A5097950348","display_name":"Pengjing","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengjing","raw_affiliation_strings":["Department of Electronic Information, Yangtze University, JingZhou, HuBei"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, Yangtze University, JingZhou, HuBei","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091456058","display_name":"Liang Shiyuan","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Shiyuan","raw_affiliation_strings":["Department of Electronic Information, Yangtze University, JingZhou, HuBei"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, Yangtze University, JingZhou, HuBei","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Fuzhou","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Fuzhou","raw_affiliation_strings":["Department of Electronic Information, Yangtze University, JingZhou, HuBei"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, Yangtze University, JingZhou, HuBei","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103657924","display_name":"Cai Chang-xin","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Changxin","raw_affiliation_strings":["National Experimental Teaching demonstration Center of Electrotechnics and Electronics of Yangtze University"],"affiliations":[{"raw_affiliation_string":"National Experimental Teaching demonstration Center of Electrotechnics and Electronics of Yangtze University","institution_ids":["https://openalex.org/I177739611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5097950348"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09732767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9890999794006348,"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":0.9890999794006348,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/chaotic","display_name":"Chaotic","score":0.7791645526885986},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.667823076248169},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6332436800003052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6295648813247681},{"id":"https://openalex.org/keywords/duffing-equation","display_name":"Duffing equation","score":0.6219480037689209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5953386425971985},{"id":"https://openalex.org/keywords/noise-immunity","display_name":"Noise immunity","score":0.5633214116096497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5349394679069519},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5088022351264954},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4941559135913849},{"id":"https://openalex.org/keywords/phase-space","display_name":"Phase space","score":0.4719245433807373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4375557005405426},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42610400915145874},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4253781735897064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2966122627258301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19904300570487976},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.14699694514274597},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07437744736671448},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07099297642707825}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7791645526885986},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.667823076248169},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6332436800003052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295648813247681},{"id":"https://openalex.org/C132323500","wikidata":"https://www.wikidata.org/wiki/Q675387","display_name":"Duffing equation","level":3,"score":0.6219480037689209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5953386425971985},{"id":"https://openalex.org/C2988494973","wikidata":"https://www.wikidata.org/wiki/Q179448","display_name":"Noise immunity","level":3,"score":0.5633214116096497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5349394679069519},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5088022351264954},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4941559135913849},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.4719245433807373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4375557005405426},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42610400915145874},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4253781735897064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2966122627258301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19904300570487976},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.14699694514274597},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07437744736671448},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07099297642707825},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3408127.3408161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3408127.3408161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","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":1,"referenced_works":["https://openalex.org/W2042312067"],"related_works":["https://openalex.org/W2099369243","https://openalex.org/W2345184372","https://openalex.org/W4223656335","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2357175289","https://openalex.org/W2257897893","https://openalex.org/W2147221670","https://openalex.org/W3215434163"],"abstract_inverted_index":{"The":[0,97,123,140],"noise":[1,73,160],"immune":[2],"characteristics":[3],"of":[4,15,25,40,52,64,70,84,149,162,169],"chaotic":[5,53,129],"systems":[6],"can":[7,131],"effectively":[8,136],"detect":[9,132],"useful":[10],"signals":[11],"in":[12,57],"the":[13,20,23,35,61,68,79,109,128,133,146,158,167],"background":[14,69],"strong":[16,71,159],"noise.":[17],"Aiming":[18],"at":[19],"problem":[21],"that":[22,127],"state":[24,86,120],"phase":[26,92],"space":[27,87,93,121],"is":[28,55,76,99,112,143,153],"judged":[29],"by":[30],"human":[31],"eye":[32],"observation":[33],"as":[34],"main":[36],"means":[37],"and":[38,78,94,105,118,145,166],"lack":[39],"reliable":[41],"theoretical":[42],"support,":[43],"a":[44],"small":[45],"sample":[46],"SVM":[47,110,150,170],"algorithm":[48],"for":[49],"intelligent":[50,151],"recognition":[51,147,172],"images":[54],"proposed":[56],"this":[58],"paper.":[59],"Firstly,":[60],"detection":[62,82],"flow":[63],"Duffing":[65,163],"oscillator":[66,164],"under":[67,102,137],"acoustic":[72],"while":[74],"drilling":[75],"given,":[77],"weak":[80],"signal":[81,135],"models":[83],"different":[85,103,138],"are":[88],"given":[89],"based":[90],"on":[91],"Lyapunov":[95],"index.":[96],"simulation":[98,124],"carried":[100],"out":[101],"SNR":[104,142],"measured":[106],"data.":[107],"Finally,":[108],"model":[111,152,171],"used":[113],"to":[114],"intelligently":[115],"identify":[116],"chaos":[117],"other":[119],"results.":[122],"results":[125],"show":[126],"system":[130,165],"target":[134],"SNR.":[139],"minimum":[141],"about-80dB":[144],"accuracy":[148],"95%.":[154],"This":[155],"conclusion":[156],"verifies":[157],"immunity":[161],"effectiveness":[168],"image.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
