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Learning-Based Compressive Subsampling

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic, Yen-Huan Li, Luca Baldassarre, Baran Gözcü

The problem of recovering a structured signal

\mathbf{x} \in \mathbb{C}^p

from a set of dimensionality-reduced linear measurements

\mathbf{b} = \mathbf {A}\mathbf {x}

arises in a variety of applications, such as medical imaging, spectroscopy, Fourier o ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Poste d'aiguillage

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An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging

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Control of the Actively Balanced Capacitive Voltage Divider for a Five-Level NPC Inverter - Estimation of the Intermediary Levels Currents

Time-based failure analysis of compressed riverbank riprap

Polymer-based optoelectronic interface and methods for its manufacture

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Modulated scattering technique in the terahertz domain enabled by current actuated vanadium dioxide switches

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