{"id":"https://openalex.org/W4312111787","doi":"https://doi.org/10.1109/tcsi.2022.3204433","title":"Analog Spiking Neural Network Based Phase Detector","display_name":"Analog Spiking Neural Network Based Phase Detector","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4312111787","doi":"https://doi.org/10.1109/tcsi.2022.3204433"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2022.3204433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2022.3204433","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 Transactions on Circuits and Systems I: Regular Papers","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/A5015785228","display_name":"Hendrik M. Lehmann","orcid":"https://orcid.org/0000-0003-1761-2524"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]},{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hendrik M. Lehmann","raw_affiliation_strings":["Institute of CMOS Design, Technical University of Braunschweig, Braunschweig, Germany","Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1761-2524","affiliations":[{"raw_affiliation_string":"Institute of CMOS Design, Technical University of Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]},{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086683414","display_name":"Julian Hille","orcid":"https://orcid.org/0000-0002-4707-052X"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julian Hille","raw_affiliation_strings":["Department of Informatics, Technical University of Munich, Munich, Germany","Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048346565","display_name":"Cyprian Grassmann","orcid":"https://orcid.org/0000-0002-1161-3131"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cyprian Grassmann","raw_affiliation_strings":["Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["Department of Informatics, Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058558617","display_name":"\u0412\u0430\u0434\u0438\u043c \u0406\u0441\u0441\u0430\u043a\u043e\u0432","orcid":"https://orcid.org/0000-0003-3450-8745"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vadim Issakov","raw_affiliation_strings":["Institute of CMOS Design, Technical University of Braunschweig, Braunschweig, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3450-8745","affiliations":[{"raw_affiliation_string":"Institute of CMOS Design, Technical University of Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4616,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61877388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"69","issue":"12","first_page":"4837","last_page":"4846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9991999864578247,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9986000061035156,"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/notation","display_name":"Notation","score":0.6322701573371887},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.609384298324585},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5979272723197937},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5257195830345154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5170838832855225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45709577202796936},{"id":"https://openalex.org/keywords/analog-signal","display_name":"Analog signal","score":0.43209147453308105},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4123968183994293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3864789605140686},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.304037868976593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2705705761909485},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.2159799039363861},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.19983923435211182},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.17023974657058716},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09425446391105652}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.6322701573371887},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.609384298324585},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5979272723197937},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5257195830345154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5170838832855225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45709577202796936},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.43209147453308105},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4123968183994293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3864789605140686},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.304037868976593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2705705761909485},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.2159799039363861},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.19983923435211182},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.17023974657058716},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09425446391105652}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsi.2022.3204433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2022.3204433","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8700000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330618","display_name":"Infineon Technologies","ror":"https://ror.org/005kw6t15"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1498101568","https://openalex.org/W1604973310","https://openalex.org/W2006370340","https://openalex.org/W2034602202","https://openalex.org/W2054560960","https://openalex.org/W2087861759","https://openalex.org/W2098221167","https://openalex.org/W2103765032","https://openalex.org/W2109596721","https://openalex.org/W2121917196","https://openalex.org/W2126439754","https://openalex.org/W2138913040","https://openalex.org/W2157239334","https://openalex.org/W2159951683","https://openalex.org/W2476286199","https://openalex.org/W2536050198","https://openalex.org/W2783525259","https://openalex.org/W2798690537","https://openalex.org/W2902938035","https://openalex.org/W2907149254","https://openalex.org/W2974328520","https://openalex.org/W2974485808","https://openalex.org/W2985547628","https://openalex.org/W3003838945","https://openalex.org/W3015878284","https://openalex.org/W3092217215","https://openalex.org/W3106469817","https://openalex.org/W3119354933","https://openalex.org/W3147709328","https://openalex.org/W3151328790","https://openalex.org/W3163359120","https://openalex.org/W3183719272","https://openalex.org/W3185875897","https://openalex.org/W4200345406","https://openalex.org/W4221038823","https://openalex.org/W4285021531","https://openalex.org/W6769667691","https://openalex.org/W6929116918"],"related_works":["https://openalex.org/W2359093779","https://openalex.org/W2226132956","https://openalex.org/W1571145207","https://openalex.org/W2376732674","https://openalex.org/W2356579899","https://openalex.org/W2069114809","https://openalex.org/W2351125481","https://openalex.org/W2389360636","https://openalex.org/W4210925376","https://openalex.org/W104250503"],"abstract_inverted_index":{"Spiking":[0,47],"Neural":[1,48],"Networks":[2],"represent":[3],"the":[4,110,115,127,135],"third":[5],"generation":[6],"of":[7,25,75,85],"biologically":[8],"inspired":[9],"systems":[10],"for":[11],"signal":[12,111,117],"processing.":[13],"They":[14],"are":[15],"associated":[16],"with":[17],"a":[18,60,83],"particularly":[19],"efficient":[20],"and":[21,114],"thus":[22],"low-energy":[23],"possibility":[24],"computing.":[26],"However,":[27],"this":[28,43],"advantage":[29],"can":[30],"only":[31],"be":[32,120],"fully":[33],"achieved":[34],"if":[35],"these":[36],"networks":[37],"utilize":[38],"special":[39],"neuromorphic":[40],"circuits.":[41],"In":[42],"work,":[44],"an":[45,138],"analog":[46,145],"Network":[49],"Phase":[50],"Detector":[51],"is":[52,73,122],"presented,":[53],"from":[54],"conceptual":[55],"formulation":[56],"to":[57,82,141],"implementation":[58],"in":[59,134],"<inline-formula":[61,86,97],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62,87,98],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[63,88,99],"<tex-math":[64,89,100],"notation=\"LaTeX\">${130}~{\\text":[65],"{nm}}$":[66],"</tex-math></inline-formula>":[67,92,104],"BiCMOS":[68],"process.":[69],"The":[70,106,130],"phase":[71,107],"detector":[72],"capable":[74],"directly":[76],"processing":[77],"various":[78],"continuous-time":[79],"signals":[80],"up":[81],"frequency":[84],"notation=\"LaTeX\">${200}~{\\text":[90],"{MHz}}$":[91],",":[93],"while":[94],"consuming":[95],"just":[96],"notation=\"LaTeX\">${840}~{\\mu":[101],"\\text":[102],"{W}}$":[103],".":[105],"difference":[108],"between":[109],"under":[112],"test":[113],"reference":[116],"that":[118],"shall":[119],"detected":[121],"adaptable.":[123],"Experimental":[124],"findings":[125],"confirm":[126],"simulative":[128],"investigations.":[129],"proposed":[131],"method":[132],"presented":[133],"paper":[136],"provides":[137],"entry-level":[139],"approach":[140],"designing":[142],"more":[143],"complex":[144],"spiking":[146],"neural":[147],"networks.":[148]},"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":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
