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Titlebook: Compressed Sensing and its Applications; Second International Holger Boche,Giuseppe Caire,Rudolf Mathar Book 2017 Springer International Pu

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樓主: supplementary
41#
發(fā)表于 2025-3-28 15:00:52 | 只看該作者
Strategisches Supply Chain Managementngineering and science. Fourier phase retrieval poses fundamental theoretical and algorithmic challenges. In general, there is no unique mapping between a one-dimensional signal and its Fourier magnitude, and therefore the problem is ill-posed. Additionally, while almost all multidimensional signals
42#
發(fā)表于 2025-3-28 22:13:29 | 只看該作者
43#
發(fā)表于 2025-3-29 02:41:13 | 只看該作者
44#
發(fā)表于 2025-3-29 03:58:16 | 只看該作者
https://doi.org/10.1007/b137883cross dictionaries, we propose two new algorithms for signal reconstruction from noisy linear measurements. Our first algorithm extends the well-known basis pursuit denoising algorithm from the L1 regularizer ∥.∥. to composite regularizers of the form ∑...∥...∥. while self-adjusting the regularizati
45#
發(fā)表于 2025-3-29 08:13:40 | 只看該作者
Strategisches Supply Chain Managementh-dimensional convex geometry. For ellipsoids, we provide a bound in terms of the distance between these ellipsoids and simple functions of their polynomial coefficients. As an application, this theorem provides bounds for compressive classification of convex sets. Rather than assuming that the data
46#
發(fā)表于 2025-3-29 13:59:38 | 只看該作者
Strategisches Supply Chain Managemente equivalent. In this paper, we make a detailed study of a weakening of these concepts to weak phase retrieval and weak phaseless reconstruction. We will give several necessary and/or sufficient conditions for frames to have these weak properties. We will prove three surprising results: (1) Weak pha
47#
發(fā)表于 2025-3-29 18:01:06 | 只看該作者
Strategisches Supply Chain Managementr matrices, it provides a fundamental but expensive tool for tensor computations. In the present work, we examine generalizations of randomized matrix decomposition methods to higher-order tensors in the framework of the hierarchical tensor representation. In particular we present and analyze a rand
48#
發(fā)表于 2025-3-29 22:22:34 | 只看該作者
49#
發(fā)表于 2025-3-30 01:45:49 | 只看該作者
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