{"id":"https://openalex.org/W3089924835","doi":"https://doi.org/10.1109/jssc.2020.3025864","title":"A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network","display_name":"A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network","publication_year":2020,"publication_date":"2020-10-02","ids":{"openalex":"https://openalex.org/W3089924835","doi":"https://doi.org/10.1109/jssc.2020.3025864","mag":"3089924835"},"language":"en","primary_location":{"id":"doi:10.1109/jssc.2020.3025864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2020.3025864","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-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/A5078284387","display_name":"Peter Brown","orcid":"https://orcid.org/0000-0003-2790-7991"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peter Lawrence Brown","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029129489","display_name":"Matthew O\u2019Shaughnessy","orcid":"https://orcid.org/0000-0002-2951-8917"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew O'Shaughnessy","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011481913","display_name":"Christopher J. Rozell","orcid":"https://orcid.org/0000-0001-5173-1661"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Rozell","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041443633","display_name":"Justin Romberg","orcid":"https://orcid.org/0000-0002-6616-197X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Romberg","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005810864","display_name":"Michael P. Flynn","orcid":"https://orcid.org/0000-0001-5070-7512"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Flynn","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078284387"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.3589,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55902142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"56","issue":"3","first_page":"834","last_page":"843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833226680755615},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6002192497253418},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5537664294242859},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5327603220939636},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.48926493525505066},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48549535870552063},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45731306076049805},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4547152519226074},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.41774439811706543},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4154576063156128},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.39323824644088745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3842713534832001},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22011300921440125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14322826266288757},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14244800806045532},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.07682392001152039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833226680755615},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6002192497253418},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5537664294242859},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5327603220939636},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.48926493525505066},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48549535870552063},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45731306076049805},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4547152519226074},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.41774439811706543},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4154576063156128},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.39323824644088745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3842713534832001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22011300921440125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14322826266288757},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14244800806045532},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.07682392001152039},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jssc.2020.3025864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2020.3025864","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1491802337","https://openalex.org/W1497336187","https://openalex.org/W1935320012","https://openalex.org/W1973503417","https://openalex.org/W1989956635","https://openalex.org/W1993565090","https://openalex.org/W2007453537","https://openalex.org/W2015049075","https://openalex.org/W2050745689","https://openalex.org/W2078204800","https://openalex.org/W2078312526","https://openalex.org/W2082476922","https://openalex.org/W2100543212","https://openalex.org/W2102199706","https://openalex.org/W2102251819","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2140122025","https://openalex.org/W2164754122","https://openalex.org/W2296616510","https://openalex.org/W2573859542","https://openalex.org/W2588191434","https://openalex.org/W2740794586","https://openalex.org/W2792059827","https://openalex.org/W4244753254","https://openalex.org/W4250955649","https://openalex.org/W4254515017","https://openalex.org/W6629353437","https://openalex.org/W6640454919","https://openalex.org/W6652545083","https://openalex.org/W6675500709","https://openalex.org/W6732025730","https://openalex.org/W6749396514"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W1976264255"],"abstract_inverted_index":{"A":[0,37],"prototype":[1,24,66],"compressed":[2],"sensing":[3],"radar":[4],"processor":[5],"boosts":[6],"the":[7,50,65,76,79],"accuracy":[8],"of":[9,40,46,56,78],"target":[10],"range":[11],"and":[12,71],"velocity":[13],"estimations":[14],"by":[15,69,73],"over":[16,58,75],"6\u00d7":[17],"compared":[18],"with":[19,30],"conventional":[20],"processing":[21],"techniques.":[22],"The":[23],"numerically":[25],"solves":[26],"basis":[27],"pursuit":[28],"denoising":[29],"a":[31],"biologically":[32],"plausible":[33],"spiking":[34],"neural":[35],"network.":[36,54],"unique":[38],"form":[39],"weight":[41],"compression":[42],"allows":[43],"on-chip":[44],"storage":[45],"all":[47],"weights":[48],"for":[49],"large":[51],"fully":[52],"connected":[53],"Capable":[55],"producing":[57],"200000":[59],"range-velocity":[60],"scene":[61],"reconstructions":[62],"per":[63],"second,":[64],"improves":[67],"throughput":[68],"8\u00d7":[70],"efficiency":[72],"18\u00d7":[74],"state":[77],"art.":[80]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}