{"id":"https://openalex.org/W2782061689","doi":"https://doi.org/10.1109/tetc.2017.2788865","title":"O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors","display_name":"O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2782061689","doi":"https://doi.org/10.1109/tetc.2017.2788865","mag":"2782061689"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2017.2788865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2017.2788865","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"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 Emerging Topics in Computing","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/A5082105097","display_name":"Alireza Khodamoradi","orcid":"https://orcid.org/0000-0001-8811-2258"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alireza Khodamoradi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000231774","display_name":"Ryan Kastner","orcid":"https://orcid.org/0000-0001-9062-5570"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Kastner","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":3.5351,"has_fulltext":false,"cited_by_count":101,"citation_normalized_percentile":{"value":0.93206342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998999834060669,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9515765905380249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7833579182624817},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.590046763420105},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5647879838943481},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5374449491500854},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.5242952704429626},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5136556029319763},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49555671215057373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4924865663051605},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.466978520154953},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.452027291059494},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4477543532848358},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4216799736022949},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3885786235332489},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2339252531528473},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0911945104598999},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.089792400598526}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9515765905380249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833579182624817},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.590046763420105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5647879838943481},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5374449491500854},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.5242952704429626},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5136556029319763},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49555671215057373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4924865663051605},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.466978520154953},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.452027291059494},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4477543532848358},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4216799736022949},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3885786235332489},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2339252531528473},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0911945104598999},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.089792400598526}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tetc.2017.2788865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2017.2788865","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"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 Emerging Topics in Computing","raw_type":"journal-article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt4cm5g5w9","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/4cm5g5w9","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol 9, iss 1","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W836444957","https://openalex.org/W1484764436","https://openalex.org/W1504738275","https://openalex.org/W1568532871","https://openalex.org/W1587512441","https://openalex.org/W1598147333","https://openalex.org/W2016574277","https://openalex.org/W2022116717","https://openalex.org/W2030975683","https://openalex.org/W2080433909","https://openalex.org/W2134145839","https://openalex.org/W2163353827","https://openalex.org/W2165373903","https://openalex.org/W2561119724"],"related_works":["https://openalex.org/W2142311551","https://openalex.org/W2075082765","https://openalex.org/W1548368440","https://openalex.org/W2883717048","https://openalex.org/W2061141771","https://openalex.org/W2946288499","https://openalex.org/W2096185181","https://openalex.org/W3092800402","https://openalex.org/W1515519876","https://openalex.org/W2091974750"],"abstract_inverted_index":{"Neuromorphic":[0],"vision":[1,15,112],"sensors":[2,72],"are":[3,73],"an":[4,36,50],"emerging":[5],"technology":[6],"inspired":[7],"by":[8],"how":[9],"retina":[10],"processing":[11],"images.":[12],"A":[13],"neuromorphic":[14,111],"sensor":[16,67],"only":[17],"reports":[18],"when":[19],"a":[20,45,97],"pixel":[21],"value":[22,29],"changes":[23,65],"rather":[24],"than":[25],"continuously":[26,46],"outputting":[27],"the":[28,66,83,89],"every":[30],"frame":[31],"as":[32,78],"is":[33,132],"done":[34],"in":[35,110,124],"\u201cordinary\u201d":[37],"Active":[38],"Pixel":[39],"Sensor":[40],"(ASP).":[41],"This":[42],"move":[43],"from":[44],"sampled":[47],"system":[48],"to":[49,76,127,143],"asynchronous":[51],"event":[52,81],"driven":[53],"one":[54],"effectively":[55,87],"allows":[56],"for":[57,105],"much":[58],"faster":[59],"sampling":[60,90],"rates;":[61],"it":[62],"also":[63,133],"fundamentally":[64],"interface.":[68],"In":[69,92],"particular,":[70],"these":[71],"highly":[74],"sensitive":[75],"noise,":[77],"any":[79],"additional":[80],"reduces":[82],"bandwidth,":[84],"and":[85,120,139],"thus":[86],"lowers":[88],"rate.":[91],"this":[93],"work":[94],"we":[95],"introduce":[96],"novel":[98],"spatiotemporal":[99],"filter":[100,131],"with":[101],"O(N)":[102],"memory":[103,119],"complexity":[104],"reducing":[106],"background":[107],"activity":[108],"noise":[109],"sensors.":[113],"Our":[114,130],"design":[115],"consumes":[116],"10\u00d7":[117],"less":[118],"has":[121],"100\u00d7":[122],"reduction":[123],"error":[125],"compared":[126],"previous":[128],"designs.":[129],"capable":[134],"of":[135],"recovering":[136],"real":[137,147],"events":[138],"can":[140],"pass":[141],"up":[142],"180":[144],"percent":[145],"more":[146],"events.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
