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

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 parameters between channels, particularly with regards to resetting characteristics and the multi-channel approach allows for better control and minimisation of the number of samples generated meaning the sampler can be considered more energy efficient than existing methods which inherently produce large numbers of samples. Furthermore, the system only generates samples in response to innovations in the signal. This makes the system well suited to sampling truly asynchronous signals consisting of bursts of activity interspersed with long indeterminate periods of quiescence while also generating sparse sets of samples.