audiologist 发表于 2025-3-30 11:19:55

Recovery Under Side Constraints,lexity. Finally, we address the measurement system design for linear and nonlinear measurements of sparse signals. To this end, we derive a new linear mixing matrix design based on coherence minimization. Then, we extend our focus to nonlinear measurement systems where we design parallel optimizatio

并入 发表于 2025-3-30 16:05:28

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Predigest 发表于 2025-3-30 19:34:54

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brassy 发表于 2025-3-30 21:52:42

Fast Radio Propagation Prediction with Deep Learning, how to estimate the pathloss function, given an urban environment, with comparable accuracy to ray-tracing methods, but orders of magnitude faster. The radio map estimation problem is seen as an image-to-image task, in which the map of the city and additional domain information are transformed to t

Aviary 发表于 2025-3-31 01:03:23

Atmospheric Radar Imaging Improvements Using Compressed Sensing and MIMO,ave 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

狂热语言 发表于 2025-3-31 06:45:51

Sparse Recovery of Sound Fields Using Measurements from Moving Microphones,mates according to the compressed-sensing paradigm. The framework is based on a sound-field representation by notional grid points in space, and dynamic samples are interpreted as the result of bandlimited interpolation on that grid using sampled sinc-function approximations. This procedure leads to

烤架 发表于 2025-3-31 09:44:52

Compressed Sensing in the Spherical Near-Field to Far-Field Transformation,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

慎重 发表于 2025-3-31 16:32:41

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motor-unit 发表于 2025-3-31 19:43:21

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