Publications related to Analyse, synthèse et complexité de calcul de bancs de filtres numériques

Super Resolution Phase Retrieval for Sparse Signals

Martin Vetterli, Juri Ranieri, Gilles Baechler, Amina Chebira, Miranda Krekovic

In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attempts to recover the phase information of a signal from the magnitude of its Fo ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

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

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

Design of Energy-Efficient Discrete Cosine Transform using Pruned Arithmetic Circuits

Christian Enz, Vincent Frédéric Camus, Jérémy Lucien Maurice Schlachter

Inexact circuits and approximate computing have been gaining a lot of interest in order to improve performances and energy efficiency beyond the boundaries of conventional digital circuits. Image and video processing is one of the best candidate for applyi ...

IEEE2016

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

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

Combinations of adaptive filters: performance and convergence properties

Ali H. Sayed

Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise supression to echo cancelation [1], array beamforming [2], channel equalization [3], to more recent sensor network applications in surveillance, target loc ...

IEEE2016

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

Generalized Poisson Summation Formula for Tempered Distributions

Michaël Unser, Quy Ha Nguyen

The Poisson summation formula (PSF), which relates the sampling of an analog signal with the periodization of its Fourier transform, plays a key role in the classical sampling theory. In its current forms, the formula is only applicable to a limited class ...

IEEE2015

DFT-based synchrophasor estimation processes for Phasor Measurement Units applications: algorithms definition and performance analysis

Mario Paolone, Paolo Romano

Among the various logical components of a phasor measurement unit (PMU), the synchrophasor estimation (SE) algorithm definitely represents the core one. Its choice is driven by two main factors: its accuracy in steady state and dynamic conditions as well a ...

The Institution of Engineering and Technology - IET2015

Analyse, synthèse et complexité de calcul de bancs de filtres numériques

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Super Resolution Phase Retrieval for Sparse Signals

Sampling the Multiple Facets of Light

Magnetic resonance spectroscopic imaging at superresolution: Overview and perspectives

Design of Energy-Efficient Discrete Cosine Transform using Pruned Arithmetic Circuits

Shapes from pixels

Learning-Based Compressive Subsampling

Combinations of adaptive filters: performance and convergence properties

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

Generalized Poisson Summation Formula for Tempered Distributions

DFT-based synchrophasor estimation processes for Phasor Measurement Units applications: algorithms definition and performance analysis

Super Resolution Phase Retrieval for Sparse Signals

Sampling the Multiple Facets of Light

Shapes from pixels

Design of Energy-Efficient Discrete Cosine Transform using Pruned Arithmetic Circuits

Learning-Based Compressive Subsampling

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

Generalized Poisson Summation Formula for Tempered Distributions

DFT-based synchrophasor estimation processes for Phasor Measurement Units applications: algorithms definition and performance analysis

Combinations of adaptive filters: performance and convergence properties

Magnetic resonance spectroscopic imaging at superresolution: Overview and perspectives