Publications related to Learning Sparse Systems at Sub-Nyquist Rates: A Frequency-Domain Approach

Sampling Continuous-time Sparse Signals: A Frequency-domain Perspective

We address the problem of sampling and reconstruction of sparse signals with finite rate of innovation. We derive general conditions under which perfect reconstruction is possible for sampling kernels satisfying Strang-Fix conditions. Previous results on t ...

2018

Sampling the Multiple Facets of Light

Gilles Baechler

The theme of this thesis revolves around three important manifestations of light, namely its corpuscular, wave and electromagnetic nature. Our goal is to exploit these principles to analyze, design and build imaging modalities by developing new signal proc ...

EPFL2018

Method for estimating synchrophasors during static and dynamic conditions

Mario Paolone, Asja Derviskadic, Paolo Romano

A method for performing synchrophasor estimation of an input signal, whereby the input signal is a sinusoidal power system voltage or current signal, comprising: a. Periodic sampling of a continuous time-domain waveform, consisting of a power system voltag ...

2018

Compressive Multiplexing of Ultrasound Signals

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Marcel Arditi, Adrien Georges Jean Besson

High-quality 3D ultrasound (US) imaging requires dense matrix-array probes with thousands of elements and necessitates an unrealistic number of coaxial cables to connect such probes to back-end systems. To address this issue, many techniques have been deve ...

IEEE2018

Compressive Multiplexing of Ultrasound Signals

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Marcel Arditi, Adrien Besson

High-quality 3D ultrasound (US) imaging requires dense matrix-array probes with thousands of elements and necessitates an unrealistic number of coaxial cables to connect such probes to back-end systems. To address this issue, many techniques have been deve ...

IEEE2018

Performance analysis of frequency shift estimation techniques in Brillouin distributed fiber sensors

Luc Thévenaz, Zhisheng Yang

The performance of post-processing techniques carried out on the Brillouin gain spectrum to estimate the Brillouin frequency shift (BFS) in standard Brillouin distributed sensors is evaluated. Curve fitting methods with standard functions such as polynomia ...

2018

Towards Generalized FRI Sampling with an Application to Source Resolution in Radioastronomy

Martin Vetterli, Thierry Blu, Hanjie Pan

It is a classic problem to estimate continuous-time sparse signals, like point sources in a direction-of-arrival problem, or pulses in a time-of-flight measurement. The earliest occurrence is the estimation of sinusoids in time series using Prony's method. ...

Institute of Electrical and Electronics Engineers2017

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

Quasi-continuous unconscious processing precedes discrete conscious perception

Michael Herzog, Adrien Christophe Doerig

Perception seems to be a continuous stream and, for this reason, we often implicitly assume that perception is continuous. In fact, many models of vision rely explicitly and implicitly on continuous perception. However, continuous perception is challenged ...

2017

Frequency-domain technique to measure the inertial response of forward stimulated Brillouin scattering for acoustic impedance sensing

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Desmond Chow Ming Chia

A frequency-domain method is proposed to measure the inertial response of forward stimulated Brillouin scattering, so that the acoustic impedance of a liquid medium outside an uncoated 30 m standard single-mode fibre can be sensed. The proposed technique o ...

SPIE2017

Learning Sparse Systems at Sub-Nyquist Rates: A Frequency-Domain Approach

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Sampling Continuous-time Sparse Signals: A Frequency-domain Perspective

Sampling the Multiple Facets of Light

Method for estimating synchrophasors during static and dynamic conditions

Compressive Multiplexing of Ultrasound Signals

Compressive Multiplexing of Ultrasound Signals

Performance analysis of frequency shift estimation techniques in Brillouin distributed fiber sensors

Towards Generalized FRI Sampling with an Application to Source Resolution in Radioastronomy

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Quasi-continuous unconscious processing precedes discrete conscious perception

Frequency-domain technique to measure the inertial response of forward stimulated Brillouin scattering for acoustic impedance sensing

Performance analysis of frequency shift estimation techniques in Brillouin distributed fiber sensors

Compressive Multiplexing of Ultrasound Signals

Method for estimating synchrophasors during static and dynamic conditions

Sampling Continuous-time Sparse Signals: A Frequency-domain Perspective

Sampling the Multiple Facets of Light

Compressive Multiplexing of Ultrasound Signals

Frequency-domain technique to measure the inertial response of forward stimulated Brillouin scattering for acoustic impedance sensing

Towards Generalized FRI Sampling with an Application to Source Resolution in Radioastronomy

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Quasi-continuous unconscious processing precedes discrete conscious perception