Titlebook: Compressed Sensing in Information Processing; Gitta Kutyniok,Holger Rauhut,Robert J. Kunsch Book 2022 The Editor(s) (if applicable) and Th

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Strategisches W?hlen in Deutschlanding the mapping from the latter to the former. We also provide a solid comparison with other approaches, showing that the trained network outperforms others in both qualitative and quantitative terms.

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https://doi.org/10.1007/978-3-658-27467-2ave also used MIMO on simple ARI application, i.e., a single scattering target on a given range and frequency, in combination with compressed sensing to develop a novel multistatic radar system called SIMONe to study the mesosphere and lower thermosphere dynamics with unprecedented temporal and spat

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,Qualit?tskontrolle der Lieferantenleistung,spherical near field, which are spherical harmonics and Wigner D-functions. Still, the reduction of measurement points does not automatically guarantee a reduction in measurement time, since considerations on the mechanical speed at which the data points can be acquired come into play. For this reas

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Hierarchical Compressed Sensing,ly restricted to the signal class. We then provide a series of results establishing the required condition for large classes of measurement ensembles. Building upon this machinery, we sketch practical applications of this framework in machine-type communications and quantum tomography.

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Proof Methods for Robust Low-Rank Matrix Recovery,oximate dual certificates and the golfing scheme, which are often better suited to deal with practical measurement structures, but sometimes lead to weaker guarantees. Lastly, we review recent progress toward analyzing descent cones also for structured scenarios—exploiting the idea of splitting the

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Sparse Deterministic and Stochastic Channels: Identification of Spreading Functions and Covariances the channel, that is, the covariance of its spreading function. Along with a review of known results, we present some new insights on the problem and discuss how to utilize linear side constraints on the covariance as in the case of deterministic channels. We also present some numerical simulations