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On the complexity of linear systems: an approach via rate distortion theory and emulating systems
We define the complexity of a continuous-time linear system to be the minimum number of bits required to describe its forward increments to a desired level of fidelity, and compute this quantity using the rate distortion function of a Gaussian source of uncertainty in those increments.
Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returns
We propose methods that use specular, multibounce lidar returns to detect and map specular surfaces that might be invisible to conventional lidar systems that rely on direct, single-scatter returns.
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