{"id":"https://openalex.org/W2800445332","doi":"https://doi.org/10.1109/iscas.2018.8350890","title":"Real-time FPGA-based Anomaly Detection for Radio Frequency Signals","display_name":"Real-time FPGA-based Anomaly Detection for Radio Frequency Signals","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2800445332","doi":"https://doi.org/10.1109/iscas.2018.8350890","mag":"2800445332"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2018.8350890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5103274940","display_name":"Duncan J. M. Moss","orcid":"https://orcid.org/0000-0002-1445-6995"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Duncan J. M. Moss","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040792997","display_name":"David Boland","orcid":"https://orcid.org/0000-0001-5370-4464"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Boland","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016735968","display_name":"Peyam Pourbeik","orcid":null},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peyam Pourbeik","raw_affiliation_strings":["CEWD, Defence Science & Technology Group, Australia"],"affiliations":[{"raw_affiliation_string":"CEWD, Defence Science & Technology Group, Australia","institution_ids":["https://openalex.org/I1303474014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107994859","display_name":"Philip H. W. Leong","orcid":"https://orcid.org/0000-0002-3923-3499"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Philip H. W. Leong","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103274940"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":1.466,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86281794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9954000115394592,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7756096124649048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156996130943298},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7074862122535706},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6848235726356506},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6441905498504639},{"id":"https://openalex.org/keywords/software-defined-radio","display_name":"Software-defined radio","score":0.6249464750289917},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5810089707374573},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4818216860294342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48071053624153137},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4106609523296356},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3782329857349396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25316616892814636},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09399819374084473}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7756096124649048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156996130943298},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7074862122535706},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6848235726356506},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6441905498504639},{"id":"https://openalex.org/C171115542","wikidata":"https://www.wikidata.org/wiki/Q1331892","display_name":"Software-defined radio","level":2,"score":0.6249464750289917},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5810089707374573},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4818216860294342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48071053624153137},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4106609523296356},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3782329857349396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25316616892814636},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09399819374084473},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2018.8350890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W587794757","https://openalex.org/W2028389014","https://openalex.org/W2094756095","https://openalex.org/W2547444416","https://openalex.org/W2565125333","https://openalex.org/W3102169921","https://openalex.org/W4297823625","https://openalex.org/W6617368339","https://openalex.org/W6674479107"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"We":[0],"describe":[1],"an":[2,30,83],"open":[3],"source,":[4],"FPGA":[5],"accelerated":[6],"neural":[7],"network-based":[8],"anomaly":[9,45,71],"detector.":[10],"The":[11],"detector":[12],"derives":[13],"its":[14],"training":[15],"set":[16],"from":[17],"observed":[18],"exemplar":[19],"data":[20],"and":[21,51,58],"continuous":[22,43,65],"learning":[23],"in":[24,29],"software":[25,94],"can":[26,63],"be":[27],"undertaken":[28],"unsupervised":[31],"manner.":[32],"Trained":[33],"network":[34],"weights":[35],"are":[36],"passed":[37],"to":[38,55],"the":[39,74],"FPGA,":[40],"which":[41],"performs":[42],"high-speed":[44],"detection,":[46],"combining":[47],"parallelism":[48],"reduced":[49],"precision,":[50],"a":[52,78,93],"single-chip":[53],"design":[54,62],"maximise":[56],"performance":[57],"energy":[59],"efficiency.":[60],"Our":[61],"process":[64],"200":[66],"MS/s":[67],"complex":[68],"inputs,":[69],"producing":[70],"classifications":[72],"at":[73,86],"same":[75],"rate,":[76],"with":[77],"latency":[79],"of":[80,85,90],"105":[81],"ns,":[82],"improvement":[84],"least":[87],"4":[88],"orders":[89],"magnitude":[91],"over":[92],"radio":[95],"such":[96],"as":[97],"GNU":[98],"Radio.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
