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eess.SP2023
Distance preservation in state-space methods for detecting causal interactions in dynamical systems
Matthew O'Shaughnessy, Mark Davenport, Christopher Rozell
We analyze the popular ``state-space'' class of algorithms for detecting casual interaction in coupled dynamical systems. These algorithms are often justified by Takens' embedding…
eess.SP2019
Sparse Bayesian Learning with Dynamic Filtering for Inference of Time-Varying Sparse Signals
Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell
Many signal processing applications require estimation of time-varying sparse signals, potentially with the knowledge of an imperfect dynamics model. In this paper, we propose an a…