Abstract: The paper considers structured sampling of structured signals, more specifically, using block diagonal (BD) measurement matrices to sense signals ...

Abstract—The paper considers structured sampling of struc- tured signals, more specifically, using block diagonal (BD) mea-.

This work concerns sampling of smooth signals on arbitrary graphs. We first study a structured sampling strategy for such smooth graph signals that consists ...

Abstract—Structured compressed sensing takes signal structure into account, thereby outperforming earlier compressed sensing methods.

This work concerns sampling of smooth signals on arbitrary graphs. We first study a structured sampling strategy for such smooth graph signals.

The celebrated Shannon sampling theorem is a key mathematical tool that allows one to seamlessly switch between the continuous-time and discrete-time ...

Structured sampling refers to the use of a combination of sampling and model-based methods.

Abstract. This thesis consists of five papers concerned with the modeling of stochastic signals, as well as deterministic signals in stochastic noise,.

Mar 9, 2017 · Abstract. This work concerns sampling of smooth signals on arbitrary graphs. We first study a structured sampling strategy for such smooth ...

The sampling structure determines the amount of spatio-temporal information that the sampled signal can carry, while the prefiltering serves to limit the ...