On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Originalsprache	Englisch
Titel	Austrian Symposium on AI, Robotics, and Vision (AIRoV 2024)
Seitenumfang	8
DOIs	https://doi.org/10.15203/99106-150-2-69
Publikationsstatus	Veröffentlicht - 2024

Wissenschaftszweige

@inproceedings{105609c8cc8e4f8a91c723cdee1bbbd8,

title = "On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals",

author = "Bernhard Moser and Michael Lunglmayr",

year = "2024",

doi = "10.15203/99106-150-2-69",

language = "English",

booktitle = "Austrian Symposium on AI, Robotics, and Vision (AIRoV 2024)",

}