{"id":"https://openalex.org/W2800666025","doi":"https://doi.org/10.3390/s18051342","title":"Three-Dimensional Terahertz Coded-Aperture Imaging Based on Matched Filtering and Convolutional Neural Network","display_name":"Three-Dimensional Terahertz Coded-Aperture Imaging Based on Matched Filtering and Convolutional Neural Network","publication_year":2018,"publication_date":"2018-04-26","ids":{"openalex":"https://openalex.org/W2800666025","doi":"https://doi.org/10.3390/s18051342","mag":"2800666025","pmid":"https://pubmed.ncbi.nlm.nih.gov/29701684"},"language":"en","primary_location":{"id":"doi:10.3390/s18051342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18051342","pdf_url":"https://www.mdpi.com/1424-8220/18/5/1342/pdf?version=1525349990","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/5/1342/pdf?version=1525349990","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100366854","display_name":"Shuo Chen","orcid":"https://orcid.org/0000-0001-9398-0009"},"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":"Shuo Chen","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023809610","display_name":"Chenggao Luo","orcid":"https://orcid.org/0000-0002-5934-0662"},"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":true,"raw_author_name":"Chenggao Luo","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757637","display_name":"Hongqiang Wang","orcid":"https://orcid.org/0000-0002-2522-9552"},"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":true,"raw_author_name":"Hongqiang Wang","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091460874","display_name":"Bin Deng","orcid":"https://orcid.org/0000-0002-0211-5886"},"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":"Bin Deng","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009604459","display_name":"Yongqiang Cheng","orcid":"https://orcid.org/0000-0002-0127-384X"},"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":"Yongqiang Cheng","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhaowen Zhuang","orcid":null},"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":"Zhaowen Zhuang","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023809610","https://openalex.org/A5100757637"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.0468,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78000634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"5","first_page":"1342","last_page":"1342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10752","display_name":"Terahertz technology and applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10752","display_name":"Terahertz technology and applications","score":0.9998999834060669,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11996","display_name":"Random lasers and scattering media","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.754524827003479},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6875882148742676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5480107665061951},{"id":"https://openalex.org/keywords/coded-aperture","display_name":"Coded aperture","score":0.5289024710655212},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4839480221271515},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4525843560695648},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37798789143562317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3509441018104553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3246971666812897},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.17945709824562073},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11271354556083679}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754524827003479},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6875882148742676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5480107665061951},{"id":"https://openalex.org/C2779464207","wikidata":"https://www.wikidata.org/wiki/Q4226196","display_name":"Coded aperture","level":3,"score":0.5289024710655212},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4839480221271515},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4525843560695648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37798789143562317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3509441018104553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3246971666812897},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.17945709824562073},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11271354556083679}],"mesh":[{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055069","descriptor_name":"Terahertz Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055069","descriptor_name":"Terahertz Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055069","descriptor_name":"Terahertz Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055069","descriptor_name":"Terahertz Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s18051342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18051342","pdf_url":"https://www.mdpi.com/1424-8220/18/5/1342/pdf?version=1525349990","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:29701684","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29701684","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:f2ec0bf0c667461b9b62b8ef1ef31b51","is_oa":true,"landing_page_url":"https://doaj.org/article/f2ec0bf0c667461b9b62b8ef1ef31b51","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 18, Iss 5, p 1342 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4940735","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5982683","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/5/1342/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s18051342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 18; Issue 5; Pages: 1342","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18051342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18051342","pdf_url":"https://www.mdpi.com/1424-8220/18/5/1342/pdf?version=1525349990","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3080878454","display_name":null,"funder_award_id":"61701513","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7841774500","display_name":null,"funder_award_id":"61571011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2800666025.pdf","grobid_xml":"https://content.openalex.org/works/W2800666025.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1897398438","https://openalex.org/W2020188066","https://openalex.org/W2031191822","https://openalex.org/W2035682670","https://openalex.org/W2054191429","https://openalex.org/W2062131753","https://openalex.org/W2091795495","https://openalex.org/W2109286921","https://openalex.org/W2122202713","https://openalex.org/W2145587049","https://openalex.org/W2268764942","https://openalex.org/W2301189050","https://openalex.org/W2322195224","https://openalex.org/W2508457857","https://openalex.org/W2531272002","https://openalex.org/W2574952845","https://openalex.org/W2590841683","https://openalex.org/W2592860706","https://openalex.org/W2597623434","https://openalex.org/W2612944707","https://openalex.org/W2612986427","https://openalex.org/W2754361766","https://openalex.org/W2754518759","https://openalex.org/W2761044000","https://openalex.org/W2763413009","https://openalex.org/W2768010184","https://openalex.org/W2788896875","https://openalex.org/W3101241281","https://openalex.org/W6655531232","https://openalex.org/W6734233772","https://openalex.org/W6745575861"],"related_works":["https://openalex.org/W2909205444","https://openalex.org/W4391621807","https://openalex.org/W2044114181","https://openalex.org/W2050416263","https://openalex.org/W2381742237","https://openalex.org/W2592917726","https://openalex.org/W4283810145","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790"],"abstract_inverted_index":{"As":[0],"a":[1,48,75,161],"promising":[2],"radar":[3],"imaging":[4,8,16,45,77,98,130,199,234,241,251],"technique,":[5],"terahertz":[6],"coded-aperture":[7],"(TCAI)":[9],"can":[10,90,229],"achieve":[11,96],"high-resolution,":[12],"forward-looking,":[13],"and":[14,84,95,141,159,201,248,260],"staring":[15],"by":[17,235,242],"producing":[18],"spatiotemporal":[19],"independent":[20],"signals":[21],"with":[22,115,218,252],"coded":[23],"apertures.":[24],"However,":[25],"there":[26],"are":[27,132,143],"still":[28],"two":[29],"problems":[30],"in":[31,122,128,265],"three-dimensional":[32],"(3D)":[33],"TCAI.":[34],"Firstly,":[35],"the":[36,43,63,92,106,110,119,137,148,153,169,178,183,193,207,214,219,225,244,255],"large-scale":[37,245],"reference-signal":[38,246],"matrix":[39],"based":[40,79,165,257],"on":[41,80,152,166,198,258],"meshing":[42],"3D":[44,76,149,216,227,240],"area":[46],"creates":[47],"heavy":[49],"computational":[50,93,139],"burden,":[51],"thus":[52],"leading":[53],"to":[54,61,135,146,176,181,211],"unsatisfactory":[55],"efficiency.":[56],"Secondly,":[57],"it":[58],"is":[59,113,174],"difficult":[60],"resolve":[62,213],"target":[64,186,217],"under":[65,203],"low":[66,100,184,204],"signal-to-noise":[67],"ratio":[68],"(SNR).":[69],"In":[70,103,223],"this":[71],"paper,":[72],"we":[73,157],"propose":[74],"method":[78],"matched":[81],"filtering":[82],"(MF)":[83],"convolutional":[85,170],"neural":[86,171],"network":[87,172],"(CNN),":[88],"which":[89],"reduce":[91],"burden":[94],"high-resolution":[97,233],"for":[99],"SNR":[101,185],"targets.":[102],"terms":[104],"of":[105,221],"frequency-hopping":[107],"(FH)":[108],"signal,":[109],"original":[111],"echo":[112,121],"processed":[114,120],"MF.":[116,167],"By":[117],"extracting":[118],"different":[123,129],"spike":[124],"pulses":[125],"separately,":[126],"targets":[127],"planes":[131],"reconstructed":[133],"simultaneously":[134],"decompose":[136],"global":[138],"complexity,":[140],"then":[142],"synthesized":[144],"together":[145],"reconstruct":[147,182],"target.":[150],"Based":[151],"conventional":[154],"TCAI":[155,163,228,256],"model,":[156],"deduce":[158],"build":[160],"new":[162],"model":[164],"Furthermore,":[168],"(CNN)":[173],"designed":[175],"teach":[177],"MF-TCAI":[179,194,208],"how":[180],"better.":[187],"The":[188],"experimental":[189],"results":[190],"demonstrate":[191],"that":[192],"achieves":[195],"impressive":[196],"performance":[197],"ability":[200],"efficiency":[202],"SNR.":[205],"Moreover,":[206],"has":[209,262],"learned":[210],"better":[212],"low-SNR":[215,232],"help":[220],"CNN.":[222,253],"summary,":[224],"proposed":[226],"achieve:":[230],"(1)":[231],"using":[236],"MF;":[237],"(2)":[238],"efficient":[239],"downsizing":[243],"matrix;":[247],"(3)":[249],"intelligent":[250],"Therefore,":[254],"MF":[259],"CNN":[261],"great":[263],"potential":[264],"applications":[266],"such":[267],"as":[268],"security":[269],"screening,":[270],"nondestructive":[271],"detection,":[272],"medical":[273],"diagnosis,":[274],"etc.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}