7 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
POCS-based framework of signal reconstruction from generalized non-uniform samples
Nguyen T. Thao, Dominik Rzepka, Marek Miśkowicz
We formalize the use of projections onto convex sets (POCS) for the reconstruction of signals from non-uniform samples in their highest generality. This covers signals in any Hilbe…
Supervised Training of Siamese Spiking Neural Networks with Earth Mover's Distance
Mateusz Pabian, Dominik Rzepka, Mirosław Pawlak
This study adapts the highly-versatile siamese neural network model to the event data domain. We introduce a supervised training framework for optimizing Earth Mover's Distance (EM…
Bandlimited signal reconstruction from leaky integrate-and-fire encoding using POCS
Nguyen T. Thao, Dominik Rzepka, Marek Miśkowicz
Leaky integrate-and-fire (LIF) encoding is a model of neuron transfer function in biology that has recently attracted the attention of the signal processing and neuromorphic comput…