Publications related to Super Resolution Phase Retrieval for Sparse Signals

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

Angle resolved photoemission spectroscopy (ARPES) is commonly known as a powerful probe of the one-electron removal spectral function in ordered solid state. With increasing efficiency of light sources and spectrometers, experiments over a wide range of em ...

Elsevier Science Bv2017

Convex block-sparse linear regression with expanders - provably

Volkan Cevher, Quoc Tran Dinh, Anastasios Kyrillidis, Luca Baldassarre, Bubacarr Bah

Sparse matrices are favorable objects in machine learning and optimization. When such matrices are used, in place of dense ones, the overall complexity requirements in optimization can be significantly reduced in practice, both in terms of space and run-ti ...

2016

Sparse regularization methods in ultrafast ultrasound imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Adrien Georges Jean Besson, Olivier Bernard

Ultrafast ultrasound (US) imaging based on plane wave (PW) insonification is a widely used modality nowadays. Two main types of approaches have been proposed for image reconstruction either based on classical delay-and-sum (DAS) or on Fourier reconstructio ...

Ieee2016

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

Phase Transitions in Group Testing

Volkan Cevher, Jonathan Mark Scarlett

The group testing problem consists of determining a sparse subset of a set of items that are ``defective'' based on a set of possibly noisy tests, and arises in areas such as medical testing, fault detection, communication protocols, pattern matching, and ...

2016

Magnetic resonance spectroscopic imaging at superresolution: Overview and perspectives

Dimitri Nestor Alice Van De Ville, Jeffrey Adam Kasten, François Lazeyras

The notion of non-invasive, high-resolution spatial mapping of metabolite concentrations has long enticed the medical community. While magnetic resonance spectroscopic imaging (MRSI) is capable of achieving the requisite spatio-spectral localization, it ha ...

Academic Press Inc Elsevier Science2016

Shapes from pixels

Martin Vetterli, Arash Amini, Loïc Arnaud Baboulaz, Mitra Fatemi

Continuous-domain visual signals are usually captured as discrete (digital) images. This operation is not invertible in general, in the sense that the continuous-domain signal cannot be exactly reconstructed based on the discrete image, unless it satisfies ...

Institute of Electrical and Electronics Engineers2016

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

Jean-Philippe Thiran, Rafael Eduardo Carrillo Rangel, Adrien Georges Jean Besson, Olivier Bernard, Damien Garcia

Ultrafast ultrasound imaging has become an intensive area of research thanks to its capability in reaching high frame rates. In this paper, we propose a scheme which allows the extension of the current Fourier-based techniques derived for planar acquisitio ...

Institute of Electrical and Electronics Engineers2016

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

David Atienza Alonso, Andreas Peter Burg, Srinivasan Murali, Georgios Karakonstantis, Aviinaash Sankaranarayanan

A method and device for reducing the computational complexity of a processing algorithm, of a discrete signal, in particular of the spectral estimation and analysis of bio-signals, with minimum or no quality loss, which comprises steps of (a) choosing a do ...

2015

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

Martin Vetterli, Robin Scheibler, Saeid Haghighatshoar

In this paper, we design a new iterative low-complexity algorithm for computing the Walsh-Hadamard transform (WHT) of an N dimensional signal with a K-sparse WHT. We suppose that N is a power of two and K = O(N^α), scales sub-linearly in N for some α ∈ (0, ...

Institute of Electrical and Electronics Engineers2015

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

Convex block-sparse linear regression with expanders - provably

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

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

Shapes from pixels

Phase Transitions in Group Testing

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

Sparse regularization methods in ultrafast ultrasound imaging

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

Learning-Based Compressive Subsampling

Magnetic resonance spectroscopic imaging at superresolution: Overview and perspectives