Publications associées à Super Resolution Phase Retrieval for Sparse Signals

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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

Super Resolution Phase Retrieval for Sparse Signals

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An experimentalist's guide to the matrix element in angle resolved photoemission

Convex block-sparse linear regression with expanders - provably

Sparse regularization methods in ultrafast ultrasound imaging

Learning-Based Compressive Subsampling

Phase Transitions in Group Testing

Magnetic resonance spectroscopic imaging at superresolution: Overview and perspectives

Shapes from pixels

Extension of Fourier-based techniques for ultrafast imaging in ultrasound with diverging waves

Method and apparatus for low complexity spectral analysis of bio-signals

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

Magnetic resonance spectroscopic imaging at superresolution: Overview and perspectives

Convex block-sparse linear regression with expanders - provably

Phase Transitions in Group Testing

Shapes from pixels

An experimentalist's guide to the matrix element in angle resolved photoemission

Method and apparatus for low complexity spectral analysis of bio-signals

Sparse regularization methods in ultrafast ultrasound imaging

Learning-Based Compressive Subsampling

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

Extension of Fourier-based techniques for ultrafast imaging in ultrasound with diverging waves