Compressive sampling of stochastic multiband signal using time encoding machine

Abstract

In this paper we present an improvement of architecture of the Asynchronous Sigma-Delta time encoding machine, which makes it suitable for sampling the wideband sparse analog signals. Since the values of the samples are encoded into sampling instants, this is a signal-dependent sampling scheme. By superseding the commonly used multitone model of the input signal with multiband stochastic model, the randomness of the sampling instants is obtained. This allows for the reconstruction of signal using compressive sampling methods without additional randomization hardware. The simulation results validate the presented approach.