Publications related to Spread spectrum for imaging techniques in radio interferometry and strings detection

Dictionary Learning for Two-Dimensional Kendall Shapes

Michaël Unser, Julien René Pierre Fageot, Virginie Sophie Uhlmann, Anna You-Lai Song

We propose a novel sparse dictionary learning method for planar shapes in the sense of Kendall, namely configurations of landmarks in the plane considered up to similitudes. Our shape dictionary method provides a good trade-off between algorithmic simplici ...

SIAM PUBLICATIONS2020

Robust sparse image reconstruction of radio interferometric observations with PURIFY

Yves Wiaux, Rafael Eduardo Carrillo Rangel, Jason Douglas McEwen

Next-generation radio interferometers, such as the Square Kilometre Array, will revolutionize our understanding of the Universe through their unprecedented sensitivity and resolution. However, to realize these goals significant challenges in image and data ...

OXFORD UNIV PRESS2018

Towards More Accurate Radio Telescope Images

Paul Hurley, Matthieu Martin Jean-André Simeoni, Nezihe Merve Gürel

Radio interferometry usually compensates for high levels of noise in sensor/antenna electronics by throwing data and energy at the problem: observe longer, then store and process it all. We propose instead a method to remove the noise explicitly before ima ...

IEEE2018

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Martin Vetterli, Paul Hurley, Thierry Blu, Matthieu Martin Jean-André Simeoni, Hanjie Pan

Context. Two main classes of imaging algorithms have emerged in radio interferometry: the CLEAN algorithm and its multiple variants, and compressed-sensing inspired methods. They are both discrete in nature, and estimate source locations and intensities on ...

2017

Dictionary Learning Based on Sparse Distribution Tomography

Michaël Unser, Pedram Pad

We propose a new statistical dictionary learning algorithm for sparse signals that is based on an α-stable innovation model. The parameters of the underlying model—that is, the atoms of the dictionary, the sparsity index α and the dispersion of the transfo ...

P. Pad2017

Denoising radio interferometric images by subspace clustering

Paul Hurley, Matthieu Martin Jean-André Simeoni, Nezihe Merve Gürel

Radio interferometry usually compensates for high levels of noise in sensor/antenna electronics by throwing data and energy at the problem: observe longer, then store and process it all. Furthermore, only the end image is cleaned, reducing flexibility subs ...

2017

On Denoising Crosstalk in Radio Interferometry

Paul Hurley, Matthieu Martin Jean-André Simeoni, Nezihe Merve Gürel

Noise reduction in radio interferometers is a formidable task due to the relatively weak signals under observation. The usual strategy is to compensate with a large number of antennas and extend the observation time. We showed recently that one could denoi ...

2017

Dual-pump generation of high-coherence primary Kerr combs with multiple sub-lines

Tobias Kippenberg, Maxim Karpov, Martin Hubert Peter Pfeiffer, Arne Kordts, Yan Yan, Long Li, Lin Zhang, Amirhossein Mohajerin Ariaei

We experimentally generate high-coherence primary Kerr combs with multiple sub-lines by using dual pumps and demonstrate the application of a primary comb state in multichannel communications. We find that more than 10 primary comb lines can be generated w ...

Optical Society of America2017

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Spread spectrum for imaging techniques in radio interferometry and strings detection

Dictionary Learning for Two-Dimensional Kendall Shapes

Robust sparse image reconstruction of radio interferometric observations with PURIFY

Low-dimensional data embedding for scalable astronomical imaging in the SKA telescope era

Looking beyond Pixels

Towards More Accurate Radio Telescope Images

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Dictionary Learning Based on Sparse Distribution Tomography

Denoising radio interferometric images by subspace clustering

On Denoising Crosstalk in Radio Interferometry

Dual-pump generation of high-coherence primary Kerr combs with multiple sub-lines

Graph Chatbot

Chat with Graph Search

Looking beyond Pixels

Low-dimensional data embedding for scalable astronomical imaging in the SKA telescope era

Dictionary Learning for Two-Dimensional Kendall Shapes

Dictionary Learning Based on Sparse Distribution Tomography

Dual-pump generation of high-coherence primary Kerr combs with multiple sub-lines

Denoising radio interferometric images by subspace clustering

On Denoising Crosstalk in Radio Interferometry

Robust sparse image reconstruction of radio interferometric observations with PURIFY

Towards More Accurate Radio Telescope Images

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources