Titlebook: Compressed Sensing and Its Applications; Third International Holger Boche,Giuseppe Caire,Philipp Petersen Book 2019 Springer Nature Switze

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,Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation,obally convergent manner using a proper initialization. However, the performance is highly sensitive in the presence of adversarial outliers that may take arbitrary values. In this chapter, we introduce the median-Truncated Gradient Descent (median-TGD) algorithm to improve the robustness of gradien

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https://doi.org/10.1007/978-3-8349-8186-8rnerstone of the underlying theory is the study of inverse problems with linear or nonlinear measurements. Whether it is sparsity, low-rankness, or other familiar notions of low complexity, the theory addresses necessary and sufficient conditions behind the measurement process to guarantee signal re

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污秽

,„Best Practice“-Risikomanagementsysteme,ded to be efficient in terms of computation and storage while also allowing for a rigorous mathematical analysis. After providing some motivation, we present our method and analyze its performance for a simple data model. We also discuss extensions of the method to the hierarchical data setting, and

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