{"id":"https://openalex.org/W3199255846","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534073","title":"An SNN-Based and Neuromorphic-Hardware-Implementable Noise Filter with Self-adaptive Time Window for Event-Based Vision Sensor","display_name":"An SNN-Based and Neuromorphic-Hardware-Implementable Noise Filter with Self-adaptive Time Window for Event-Based Vision Sensor","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199255846","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534073","mag":"3199255846"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5009318581","display_name":"Kanglin Xiao","orcid":"https://orcid.org/0000-0002-1552-1613"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kanglin Xiao","raw_affiliation_strings":["Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School Key Laboratory of Microelectronics Devices and Circuits (MOE), Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School Key Laboratory of Microelectronics Devices and Circuits (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048410928","display_name":"Xiaoxin Cui","orcid":"https://orcid.org/0000-0002-0394-8839"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxin Cui","raw_affiliation_strings":["Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School, Shenzhen, China","Key Laboratory of Microelectronics Devices and Circuits (MOE), Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Microelectronics Devices and Circuits (MOE), Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101858722","display_name":"Kefei Liu","orcid":"https://orcid.org/0000-0003-4722-9438"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kefei Liu","raw_affiliation_strings":["Key Laboratory of Microelectronics Devices and Circuits (MOE), Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Microelectronics Devices and Circuits (MOE), Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039536802","display_name":"Xiaole Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaole Cui","raw_affiliation_strings":["Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School, Shenzhen, China","Key Laboratory of Microelectronics Devices and Circuits (MOE), Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Microelectronics Devices and Circuits (MOE), Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102009435","display_name":"Xin\u2019an Wang","orcid":"https://orcid.org/0000-0002-9712-8531"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin'an Wang","raw_affiliation_strings":["Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009318581"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.4011,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60671495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8174389004707336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7991868257522583},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.664667010307312},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5489330291748047},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5136184096336365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5029956698417664},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4998481273651123},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.44973695278167725},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44903045892715454},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41743290424346924},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4072733223438263},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3683018684387207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13649597764015198}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8174389004707336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991868257522583},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.664667010307312},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5489330291748047},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5136184096336365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5029956698417664},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4998481273651123},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.44973695278167725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44903045892715454},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41743290424346924},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4072733223438263},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3683018684387207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13649597764015198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4549691916","display_name":null,"funder_award_id":"JCYJ20170412150411676","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G4960537865","display_name":null,"funder_award_id":"2018YFB2202605","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6847781164","display_name":null,"funder_award_id":"B18001","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1604973310","https://openalex.org/W1926086117","https://openalex.org/W1975697167","https://openalex.org/W1980178290","https://openalex.org/W2016574277","https://openalex.org/W2097729303","https://openalex.org/W2102397476","https://openalex.org/W2104561942","https://openalex.org/W2130360162","https://openalex.org/W2165396124","https://openalex.org/W2499758651","https://openalex.org/W2506323698","https://openalex.org/W2547386190","https://openalex.org/W2567239141","https://openalex.org/W2745933219","https://openalex.org/W2749476078","https://openalex.org/W2783525259","https://openalex.org/W2797987944","https://openalex.org/W2798859500","https://openalex.org/W2963481123","https://openalex.org/W2971783054","https://openalex.org/W3122190729","https://openalex.org/W4226051885","https://openalex.org/W6675823174","https://openalex.org/W6765783570"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3089892344","https://openalex.org/W2960220682","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W2885510266","https://openalex.org/W4288055417","https://openalex.org/W4287758233","https://openalex.org/W3136467750"],"abstract_inverted_index":{"Event-based":[0],"dynamic":[1],"vision":[2,8],"sensors":[3,19],"(DVS),":[4],"inspired":[5],"by":[6,77],"biological":[7],"systems,":[9],"lead":[10],"to":[11,122,151],"new":[12],"sensing":[13],"and":[14,47,56,109,155],"computing":[15],"paradigms.":[16],"The":[17,130],"novel":[18],"output":[20],"the":[21,39,69,74,81,91,95,99,124,127,138,160],"sensed":[22],"signal":[23],"alone":[24],"with":[25,60,117],"many":[26],"noise":[27,70,120,153],"events":[28,71],"asynchronously.":[29],"Data-preprocessing":[30],"for":[31,67,114,162],"filtering":[32,64,68],"these":[33],"noises":[34],"is":[35,88,136],"significant":[36],"before":[37],"utilizing":[38],"data":[40,75,108,111],"in":[41,73,159],"applications":[42],"such":[43],"as":[44,90],"classification,":[45],"tracking":[46],"motion-data":[48],"extraction.":[49],"This":[50],"paper":[51],"describes":[52],"a":[53,61],"fully":[54],"spike-based":[55],"neuromorphic-hardware-implementable":[57],"neural":[58,141],"network":[59,96,142],"signal-oriented":[62],"self-adaptive":[63],"time":[65],"window":[66],"robustly":[72],"captured":[76],"DVS.":[78],"In":[79],"particular,":[80],"simple":[82],"leaky":[83],"integrate-and-fire":[84],"(LIF)":[85],"neuron":[86],"model":[87],"adopted":[89],"basic":[92],"elements":[93],"of":[94,98,101,126,133],"out":[97],"purpose":[100],"hardware-friendly.":[102],"Experiments":[103],"based":[104,144],"on":[105],"both":[106],"synthesized":[107],"authentically-captured":[110],"are":[112],"designed":[113],"quantitative":[115],"comparison":[116],"traditional":[118,152],"DVS":[119],"filters":[121,154],"verify":[123],"outperformance":[125],"proposed":[128,139],"filter.":[129],"main":[131],"contribution":[132],"this":[134],"work":[135],"that":[137],"spiking":[140],"(SNN)":[143],"filter":[145],"achieves":[146],"higher":[147],"signal-noise-ratio":[148],"(SNR)":[149],"compared":[150],"performances":[156],"more":[157],"robust":[158],"tolerance":[161],"changing":[163],"signals.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}