dc.contributor.author | Lehtonen E | |
dc.contributor.author | Ieng SH | |
dc.contributor.author | Benosman R | |
dc.date.accessioned | 2022-10-28T12:38:36Z | |
dc.date.available | 2022-10-28T12:38:36Z | |
dc.identifier.uri | https://www.utupub.fi/handle/10024/161007 | |
dc.description.abstract | This 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.iso | en | |
dc.publisher | FRONTIERS MEDIA SA | |
dc.title | Complexity Analysis of Iterative Basis Transformations Applied to Event-Based Signals | |
dc.identifier.urn | URN:NBN:fi-fe2021042719389 | |
dc.relation.volume | 12 | |
dc.contributor.organization | fi=PÄÄT Terveysteknologia|en=PÄÄT Health Technology| | |
dc.contributor.organization-code | 2606808 | |
dc.converis.publication-id | 32123815 | |
dc.converis.url | https://research.utu.fi/converis/portal/Publication/32123815 | |
dc.identifier.jour-issn | 1662-4548 | |
dc.okm.affiliatedauthor | Lehtonen, Eero | |
dc.okm.discipline | 3112 Neurosciences | en_GB |
dc.okm.discipline | 3112 Neurotieteet | fi_FI |
dc.okm.internationalcopublication | international co-publication | |
dc.okm.internationality | International publication | |
dc.okm.type | Journal article | |
dc.publisher.country | Sveitsi | fi_FI |
dc.publisher.country | Switzerland | en_GB |
dc.publisher.country-code | CH | |
dc.relation.articlenumber | ARTN 373 | |
dc.relation.doi | 10.3389/fnins.2018.00373 | |
dc.relation.ispartofjournal | Frontiers in Neuroscience | |
dc.year.issued | 2018 | |