Publications related to Least-squares spectral analysis

Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques

We propose new algorithms to overcome two of the most constraining limitations of surface reconstruction methods in use. In particular, we focus on the large amount of data characterizing standard acquisitions by scanner and the noise intrinsically introdu ...

Elsevier Science Bv2017

Robust Distributed Estimation by Networked Agents

Ali H. Sayed, Ali Zoubir

Diffusion adaptive networks tasked with solving estimation problems have attracted attention in recent years due to their reliability, scalability, resource efficiency, and resilience to node and link failure. Diffusion adaptation strategies that are based ...

2017

A Functional Framework for Enhanced Ultrasound Imaging

Ultrasound systems are cheap, portable, and fast, which have become impressively popular over the last decades. State-of art imaging is however known to be sub-optimal. Most attempts to improve it formulate the problem on a discrete spatial grid and suffer ...

2017

Stationary signal processing on graphs

Pierre Vandergheynst, Nathanaël Perraudin

Graphs are a central tool in machine learning and information processing as they allow to conveniently capture the structure of complex datasets. In this context, it is of high importance to develop flexible models of signals defined over graphs or network ...

Institute of Electrical and Electronics Engineers2017

End-to-End Convolutional Neural Network-based Voice Presentation Attack Detection

Sébastien Marcel, Hannah Muckenhirn

Development of countermeasures to detect attacks performed on speaker verification systems through presentation of forged or altered speech samples is a challenging and open research problem. Typically, this problem is approached by extracting features thr ...

2017

Coexistence of Drift Waves and D'Angelo Modes at Different Position and Frequency in Linear Plasma Device

Minh Quang Tran, Nathan Dupertuis

Experimental plasma discharges in linear PANTA device are studied by Mach probe measurements, providing floating potential, ion saturation current, and parallel flow velocity time evolution, at different radii of the device. Spectral analysis indicates tha ...

Japan Soc Plasma Science & Nuclear Fusion Research2017

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Volkan Cevher, Mikhail Kapralov, Jonathan Mark Scarlett, Amir Zandieh

The problem of approximately computing the

k

dominant Fourier coefficients of a vector

X

quickly, and using few samples in time domain, is known as the Sparse Fourier Transform (sparse FFT) problem. A long line of work on the sparse FFT has resulted in ...

2017

Accurate thermal conductivities from optimally short molecular dynamics simulations

Aris Marcolongo, Loris Ercole

The evaluation of transport coefficients in extended systems, such as thermal conductivity or shear viscosity, is known to require impractically long simulations, thus calling for a paradigm shift that would allow to deploy state-of-the-art quantum simulat ...

Nature Publishing Group2017

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

A Novel Measure of Instantaneous Baroreflex Sensitivity

Jean-Marc Vesin, Sasan Yazdani, Miljan Petrovic

Various time- and frequency-based approaches have been proposed to measure baroreflex sensitivity. All these methods are block-based ones. This study proposes a novel instantaneous measure of baroreflex sensitivity that enables the investigation of frequen ...

2017

Least-squares spectral analysis

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Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques

Robust Distributed Estimation by Networked Agents

A Functional Framework for Enhanced Ultrasound Imaging

Stationary signal processing on graphs

End-to-End Convolutional Neural Network-based Voice Presentation Attack Detection

Coexistence of Drift Waves and D'Angelo Modes at Different Position and Frequency in Linear Plasma Device

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Accurate thermal conductivities from optimally short molecular dynamics simulations

Denoising radio interferometric images by subspace clustering

A Novel Measure of Instantaneous Baroreflex Sensitivity

A Functional Framework for Enhanced Ultrasound Imaging

Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques

Robust Distributed Estimation by Networked Agents

Stationary signal processing on graphs

Denoising radio interferometric images by subspace clustering

End-to-End Convolutional Neural Network-based Voice Presentation Attack Detection

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Coexistence of Drift Waves and D'Angelo Modes at Different Position and Frequency in Linear Plasma Device

Accurate thermal conductivities from optimally short molecular dynamics simulations

A Novel Measure of Instantaneous Baroreflex Sensitivity