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Complexity Analysis of Iterative Basis Transformations Applied to Event-Based Signals
Tekijät: Ieng SH, Lehtonen E, Benosman R
Kustantaja: FRONTIERS MEDIA SA
Julkaisuvuosi: 2018
Lehti: Frontiers in Neuroscience
Tietokannassa oleva lehden nimi: FRONTIERS IN NEUROSCIENCE
Lehden akronyymi: FRONT NEUROSCI-SWITZ
Artikkelin numero: ARTN 373
Vuosikerta: 12
Sivujen määrä: 13
ISSN: 1662-453X
DOI: https://doi.org/10.3389/fnins.2018.00373
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/32123815
Tiivistelmä
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.
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.
Avainsanat:
AER, DCT, discrete basis transforms, DWT, event-based signal processing
Ladattava julkaisu This is an electronic reprint of the original article. |  |
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