6 accepted papers
Event cameras produce streams of events with high temporal resolution which do not suffer from motion blur. Current deep networks achieve high-quality video reconstruction from events, but most of them are large and difficult to interpret. In this work, we present a solution to this problem by syste…
In this paper, we consider the 2D tomography problem for a finite number of point sources, where the line integral projections are taken at unknown angles. We address the problem of recovering the point sources and estimating the projection angles. Using the property of the Radon transform of a poin…
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…
We consider physical fields induced by a finite number of instantaneous diffusion sources, which we sample using a mobile sensor, along unknown trajectories composed of multiple linear segments. We address the problem of estimating the sources, as well as the trajectory of the mobile sensor. Within…
We investigate the use of integrate-and-fire systems to efficiently sample classes of non-bandlimited signals such as bursts of spikes. The sampling in this case is based on storing some timing information about the signal, and no information about its amplitude. We demonstrate that perfect reconstr…
The last two decades have seen a renewed interest in sampling theory, which is concerned with the conversion of continuous-domain signals into discrete sequences. This conversion is traditionally achieved by recording the intensity of the signal at specified time instants. Alternatively, sampling ca…