Titlebook: Compressed Sensing and its Applications; MATHEON Workshop 201 Holger Boche,Robert Calderbank,Jan Vybíral Book 2015 Springer International P

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Strategisches Talentmanagement in Chinalores the interaction of quantization and compressive sensing and examines practical quantization strategies for compressive acquisition systems. Specifically, we first provide a brief overview of quantization and examine fundamental performance bounds applicable to any quantization approach. Next,

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Die Ableitung von Technologiestrategien,d at estimating the parameters of a density mixture on training data in a compressive manner by computing a low-dimensional . of the data. The sketch represents empirical moments of the underlying probability distribution. Instantiating the framework on the case where the densities are isotropic Gau

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,Schlu?betrachtung und Ausblick,near and non-adaptive estimation problems. It is therefore an advisable strategy for noncoherent information retrieval in, for example, sporadic blind and semi-blind communication and sampling problems. But, the conventional model is not practical here since the compressible signals have to be estim

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Strategisches Technologiemanagementve an overview of the analysis sparsity model and present theoretical conditions that guarantee successful nonuniform and uniform recovery of signals from noisy measurements. We derive a bound on the number of Gaussian and subgaussian measurements by examining the provided theoretical guarantees und

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https://doi.org/10.1007/978-3-8350-9173-3low rank from incomplete information. Here we consider a further extension to the reconstruction of tensors of low multi-linear rank in recently introduced hierarchical tensor formats from a small number of measurements. Hierarchical tensors are a flexible generalization of the well-known Tucker rep

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