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Complexity Analysis of Iterative Basis Transformations Applied to Event-Based Signals

Lehtonen E; Ieng SH; Benosman R

dc.contributor.authorLehtonen E
dc.contributor.authorIeng SH
dc.contributor.authorBenosman R
dc.date.accessioned2022-10-28T12:38:36Z
dc.date.available2022-10-28T12:38:36Z
dc.identifier.urihttps://www.utupub.fi/handle/10024/161007
dc.description.abstractThis paper introduces an event-based methodology to perform arbitrary linear basis transformations that encompass a broad range of practically important signal transforms, such as the discrete Fourier transform (DFT) and the discrete wavelet transform (DWT). We present a complexity analysis of the proposed method, and show that the amount of required multiply-and-accumulate operations is reduced in comparison to frame-based method in natural video sequences, when the required temporal resolution is high enough. Experimental results on natural video sequences acquired by the asynchronous time-based neuromorphic image sensor (ATIS) are provided to support the feasibility of the method, and to illustrate the gain in computation resources.
dc.language.isoen
dc.publisherFRONTIERS MEDIA SA
dc.titleComplexity Analysis of Iterative Basis Transformations Applied to Event-Based Signals
dc.identifier.urnURN:NBN:fi-fe2021042719389
dc.relation.volume12
dc.contributor.organizationfi=PÄÄT Terveysteknologia|en=PÄÄT Health Technology|
dc.contributor.organization-code2606808
dc.converis.publication-id32123815
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/32123815
dc.identifier.jour-issn1662-4548
dc.okm.affiliatedauthorLehtonen, Eero
dc.okm.discipline3112 Neurosciencesen_GB
dc.okm.discipline3112 Neurotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeJournal article
dc.publisher.countrySveitsifi_FI
dc.publisher.countrySwitzerlanden_GB
dc.publisher.country-codeCH
dc.relation.articlenumberARTN 373
dc.relation.doi10.3389/fnins.2018.00373
dc.relation.ispartofjournalFrontiers in Neuroscience
dc.year.issued2018


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