{"id":"https://openalex.org/W4287879367","doi":"https://doi.org/10.3390/s22155548","title":"Near-Field High-Resolution SAR Imaging with Sparse Sampling Interval","display_name":"Near-Field High-Resolution SAR Imaging with Sparse Sampling Interval","publication_year":2022,"publication_date":"2022-07-25","ids":{"openalex":"https://openalex.org/W4287879367","doi":"https://doi.org/10.3390/s22155548","pmid":"https://pubmed.ncbi.nlm.nih.gov/35898051"},"language":"en","primary_location":{"id":"doi:10.3390/s22155548","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155548","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5548/pdf?version=1658885714","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/1424-8220/22/15/5548/pdf?version=1658885714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084084838","display_name":"Chengyi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyi Zhao","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031237979","display_name":"Leijun Xu","orcid":"https://orcid.org/0000-0003-2885-6102"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Leijun Xu","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781917","display_name":"Bai Xue","orcid":"https://orcid.org/0000-0002-0881-9219"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Bai","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100330951","display_name":"Jianfeng Chen","orcid":"https://orcid.org/0000-0003-3459-3978"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Chen","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031237979"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":4.4591,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94454383,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"22","issue":"15","first_page":"5548","last_page":"5548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6769213080406189},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6544650197029114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.620803713798523},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.5458670854568481},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.544059157371521},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4915700852870941},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.47525879740715027},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.47153955698013306},{"id":"https://openalex.org/keywords/sparse-array","display_name":"Sparse array","score":0.46740275621414185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46282774209976196},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.459150493144989},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.4426332116127014},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4388126730918884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40790724754333496},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3737356662750244},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.34438252449035645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34330087900161743},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2008298635482788},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19858500361442566},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.17744934558868408},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11376696825027466},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09027895331382751}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6769213080406189},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6544650197029114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.620803713798523},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.5458670854568481},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.544059157371521},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4915700852870941},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.47525879740715027},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.47153955698013306},{"id":"https://openalex.org/C145177509","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse array","level":2,"score":0.46740275621414185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46282774209976196},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.459150493144989},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4426332116127014},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4388126730918884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40790724754333496},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3737356662750244},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.34438252449035645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34330087900161743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2008298635482788},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19858500361442566},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.17744934558868408},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11376696825027466},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09027895331382751}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s22155548","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155548","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5548/pdf?version=1658885714","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:35898051","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35898051","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:19f6d0948dba40899650874684524e61","is_oa":true,"landing_page_url":"https://doaj.org/article/19f6d0948dba40899650874684524e61","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 15, p 5548 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/15/5548/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22155548","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 22; Issue 15; Pages: 5548","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9330117","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9330117","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22155548","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155548","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5548/pdf?version=1658885714","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/G3085993365","display_name":null,"funder_award_id":"(Grant No.","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/G4706690684","display_name":null,"funder_award_id":"6187405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5080852892","display_name":null,"funder_award_id":"61874050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","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/G7726157001","display_name":null,"funder_award_id":"Grant No.","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/W4287879367.pdf","grobid_xml":"https://content.openalex.org/works/W4287879367.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1990469571","https://openalex.org/W2047071281","https://openalex.org/W2047109090","https://openalex.org/W2110800338","https://openalex.org/W2129033542","https://openalex.org/W2277063642","https://openalex.org/W2548933236","https://openalex.org/W2554636857","https://openalex.org/W2626060251","https://openalex.org/W2765382881","https://openalex.org/W2775230472","https://openalex.org/W2898796056","https://openalex.org/W2899886609","https://openalex.org/W2899901052","https://openalex.org/W2920459301","https://openalex.org/W2940743692","https://openalex.org/W2948848026","https://openalex.org/W2980126357","https://openalex.org/W3004122695","https://openalex.org/W3041937076","https://openalex.org/W3103439292","https://openalex.org/W3125114007","https://openalex.org/W3126843058","https://openalex.org/W3208452011","https://openalex.org/W4206943292","https://openalex.org/W4220954884","https://openalex.org/W6694670509"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W1915418828","https://openalex.org/W2547107543","https://openalex.org/W2031673444","https://openalex.org/W1994788526","https://openalex.org/W2613451563","https://openalex.org/W1966299760","https://openalex.org/W2150075356"],"abstract_inverted_index":{"Near-field":[0],"high-resolution":[1],"synthetic":[2,192],"aperture":[3,148,193],"radar":[4,38,194],"(SAR)":[5],"imaging":[6,62,195,306],"is":[7,53,80,114,138,155,198,243,287],"mostly":[8],"accompanied":[9],"by":[10,110,236],"a":[11,37,56,78,187,205,222],"large":[12],"number":[13,32],"of":[14,33,36,46,135,182,204,214,221,256,277,298],"data":[15,89,108,124,281,299],"acquisition":[16],"processes,":[17],"which":[18,286],"increases":[19],"the":[20,31,44,61,66,72,87,97,107,111,117,122,127,132,136,151,160,168,177,202,212,215,219,237,239,247,257,268,275,280,291,296],"system":[21],"complexity":[22],"and":[23,92,143,266,294],"device":[24],"cost.":[25],"According":[26],"to":[27,65,85,120,145,157,274],"extensive":[28],"reports,":[29],"reducing":[30],"sampling":[34,52,102,184,210,227,249,259,278],"points":[35,250],"in":[39,60,71,82,116,126,159,171],"space":[40],"can":[41,174,263,283],"greatly":[42],"reduce":[43],"amount":[45],"data.":[47,149],"However,":[48],"when":[49,246],"spatial":[50,248],"sparse":[51,100,112,183],"carried":[54],"out,":[55],"ghost":[57],"normally":[58],"appears":[59],"results":[63,165,203],"due":[64],"high":[67,271,303],"side":[68],"lobes":[69],"generated":[70],"azimuth.":[73],"To":[74],"address":[75],"this":[76,83,172,261],"issue,":[77],"technique":[79],"introduced":[81],"paper":[84,173],"recover":[86],"blank":[88,133],"through":[90,103],"amplitude":[91,142],"phase":[93,144],"compensation":[94],"based":[95],"on":[96],"correlation":[98],"between":[99],"array":[101,113],"adjacent":[104],"points.":[105],"Firstly,":[106],"sampled":[109,252],"compressed":[115],"range":[118,129],"direction":[119],"obtain":[121,146],"expected":[123],"slices":[125],"same":[128],"direction.":[130],"Then,":[131],"element":[134],"slice":[137],"compensated":[139],"for":[140,289,301],"with":[141,201,254,270],"full":[147,258],"Finally,":[150],"matched":[152],"filter":[153],"method":[154,169,262],"used":[156],"aid":[158],"image":[161,178,217,269],"reconstruction.":[162],"The":[163],"simulation":[164],"verified":[166],"that":[167],"proposed":[170,233],"effectively":[175],"reconstruct":[176,267],"under":[179,218],"two":[180],"kinds":[181],"conditions.":[185],"Thus,":[186],"simple":[188],"single-input":[189],"single-output":[190],"(SISO)":[191],"test":[196],"bench":[197],"established.":[199],"Compared":[200],"1":[206],"mm":[207,224],"(1/4":[208],"\u03bb)":[209,226],"interval,":[211],"quality":[213],"reconstructed":[216],"condition":[220],"4":[223],"(1":[225],"interval":[228],"still":[229],"stands":[230],"using":[231],"our":[232],"method.":[234],"Demonstrated":[235],"experiment,":[238],"normalized":[240],"root-mean-square":[241],"error(NMSE)":[242],"5.75%.":[244],"Additionally,":[245],"are":[251],"randomly":[253],"30%":[255],"condition,":[260],"also":[264],"restore":[265],"quality.":[272],"Due":[273],"decrease":[276],"points,":[279],"volume":[282],"be":[284],"reduced,":[285],"beneficial":[288],"improving":[290],"scanning":[292],"speed":[293],"alleviating":[295],"pressure":[297],"transmission":[300],"near-field":[302],"resolution":[304],"SAR":[305],"systems.":[307]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}