Marek Hilton — accepted AI-conference papers

2023

Sparse Asynchronous Samples from Networks of Tems for Reconstruction of Classes of Non-Bandlimited Signals

ICASSP 2023accepted

We present a signal driven multi-channel time encoding system for sampling signals with finite rate of innovation (FRI). The system produces samples in the form of finite differences from which the input signal can be exactly reconstructed. The use of finite differences allows diversity of TEM param…

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2021

Guaranteed Reconstruction from Integrate-and-Fire Neurons with Alpha Synaptic Activation

Marek Hilton, Roxana Alexandru, Pier Luigi Dragotti

ICASSP 2021accepted

Time encoding of continuous time signals is an alternative to classical sampling paradigms. The signal is encoded in the timing of output samples rather than their amplitudes. Of particular interest are integrate-and-fire time encoding machines (IF-TEM) for sampling signals with finite rate of innov…

Cited by 0 Source ↗Scholar ↗