Over-the-Air Computation via Reconfigurable Intelligent Surface
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CDMA and MIMO-CDMA systems using RAKE receivers are heavily limited by self- and multiple-access-interference. Linear equalization is a means to remove this interference, however it is often not practical due to the enormous complexity, especially in the M ...
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Harmonic probabilistic models are common in signal analysis. Framed as a linear-Gaussian state-space model, smoothed inference scales as O(TH2) where H is twice the number of frequencies in the model and T is the length of the time-series. Due to th ...
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In this work we propose several algorithms to solve the reconfiguration problem for linear and hybrid systems. In particular, we consider the decision about the usage of redundant hardware in order to compensate for faults. While this problem can be transl ...
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We propose an approach to incorporating dynamic models into the human body tracking process that yields full 3--D reconstructions from monocular sequences. We formulate the tracking problem is terms of minimizing a differentiable criterion whose differenti ...
Deterministic Network Calculus provides an elegant way to compute performance bounds, e.g. bounds on backlog, delay-jitter, loss ratio, and like. Such bounds are deterministic worst-case bounds. In some cases it is practically sensible that individual flow ...
For the analysis of flows in compliant vessels, we propose an approach to couple the original 3D equations with a convenient 1D model. This multi-scale strategy allows for a dramatic reduction of the computational complexity and is suitable for "absorbing" ...
In this work we propose several algorithms to solve the reconfiguration problem for linear and hybrid systems. In particular, we consider the decision about the usage of redundant hardware in order to compensate for faults. While this problem can be transl ...
