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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Austrian Symposium on AI, Robotics, and Vision (AIRoV 2024)
Number of pages	8
DOIs	https://doi.org/10.15203/99106-150-2-69
Publication status	Published - 2024

Fields of science

@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)",

}