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Concept

Digital signal (signal processing)

Publications associées (24)

Spike-Based Sensing and Communication for Highly Energy-Efficient Sensor Edge Nodes

Mihai Adrian Ionescu, Teodor Rosca

Highly energy-efficient wireless sensor nodes are a prerequisite for a sustainable operation of the Internet of things. Therefore, classical approaches for system design based on digital signal processing are not a viable solution, but system design has to ...

IEEE2022

Finite Bit Quantization For Decentralized Learning Under Subspace Constraints

Ali H. Sayed, Stefan Vlaski, Roula Nassif

In this paper, we consider decentralized optimization problems where agents have individual cost functions to minimize subject to subspace constraints that require the minimizers across the network to lie in low-dimensional subspaces. This constrained form ...

IEEE2022

AlpsNMR: an R package for signal processing of fully untargeted NMR-based metabolomics

José Luis Abelleira Fernández

aSummary: Nuclear magnetic resonance (NMR)-based metabolomics is widely used to obtain metabolic fingerprints of biological systems. While targeted workflows require previous knowledge of metabolites, prior to statistical analysis, untargeted approaches re ...

Oxford University Press2020

A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms

Mikhail Kapralov, Amir Zandieh

Reconstructing continuous signals based on a small number of discrete samples is a fundamental problem across science and engineering. We are often interested in signals with "simple" Fourier structure - e.g., those involving frequencies within a bounded r ...

ASSOC COMPUTING MACHINERY2019

Measurement of the Lifetime of the Doubly Charmed Baryon Xi(++)(cc)

Jian Wang, Mingkui Wang, Olivier Schneider, Zhirui Xu, Yi Zhang, Lei Zhang, Aurelio Bay, Yi Wang, Guido Haefeli, Tatsuya Nakada, Frédéric Blanc, Minh Tâm Tran, Maurizio Martinelli, Donal Patrick Hill, Liang Sun, Jean Wicht, Liupan An, Elena Graverini, Plamen Hristov Hopchev, Renato Quagliani, Hang Yin, Maria Vieites Diaz, Olivier Göran Girard, Axel Kuonen, Aravindhan Venkateswaran, Michel De Cian, Maria Elena Stramaglia, Vladimir Macko, Federico Leo Redi, Luis Miguel Garcia Martin, Vitalii Lisovskyi, Tara Nanut, Alessio Ferrari, Violaine Bellée, Guillaume Max Pietrzyk, Pavol Stefko, Pietro Marino, Matthieu Philippe Luther Marinangeli, François Fleuret, Vladislav Balagura, Guido Andreassi, Luca Pescatore, Preema Rennee Pais, Maxime Schubiger, Katharina Müller, Christoph Frei, Chitsanu Khurewathanakul, Greig Alan Cowan, Jessica Prisciandaro, Mirco Dorigo, Sebastiana Gianì, Vincenzo Battista, Conor Thomas Fitzpatrick, Tommaso Colombo, Brice Emile Maurin, Ian William Marison, Arnaud Merlin Gauthey, Daniel Gallichan, Marilisa Neri, Michael Thompson McCann, Mai Tu Xuan, Matteo Fontana, Simon Van Mulders, Valérie Jeanne Thérèse Renaudin-Schouler, Severin Stähly, Craig Matthew Smith, Alexandra Bondarenko, Léonard Yannick Maurice Eymann, Adriano Pastore, Nathalie Sophie Adeline Serra, Xiao Yuan, Laia Castilla Amorós, Luc Henry, Juan Federico Esteban Müller, Giovanni Veneziano, Basile Schäli, Nandita Aggarwal, Benedikt Sebastian Braun, Sattar Akbari Nakhjavani, Thomas Jean Julien Fussinger, Gang Yu, Kévin Müller, Jordy Daniel Müller

The first measurement of the lifetime of the doubly charmed baryon Xi(++)(cc) is presented, with the signal reconstructed in the final state Lambda K-+(c)-pi(+)pi(+). The data sample used corresponds to an integrated luminosity of 1.7 fb(-1), collected by ...

2018

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Michaël Unser, Julien René Fageot, Anaïs Laure Marie-Thérèse Badoual

This paper deals with the resolution of inverse problems in a periodic setting or, in other terms, the reconstruction of periodic continuous-domain signals from their noisy measurements. We focus on two reconstruction paradigms: variational and statistical ...

2018

Rate Distortion Optimized Graph Partitioning for Omnidirectional Image Coding

Pascal Frossard, Francesca De Simone, Thomas Maugey

Omnidirectional images are spherical signals captured by cameras with 360-degree field of view. In order to be compressed using existing encoders, these signals are mapped to planar domain. A commonly used planar representation is the equirectangular one, ...

IEEE COMPUTER SOC2018

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

Implementation of Low-Power 6–8 b 30–90 GS/s Time-Interleaved ADCs With Optimized Input Bandwidth in 32 nm CMOS

Yusuf Leblebici, Thomas Toifl, Lukas Kull

A model for voltage-based time-interleaved sampling is introduced with two implementations of highly interleaved analog-to-digital converters (ADCs) for 100 Gb/s communication systems. The model is suitable for ADCs where the analog input bandwidth is of c ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Fractionally Spaced Complex Sub-Nyquist Sampling for Multi-Gigabit 60 GHz Wireless Communication

Andreas Peter Burg, Nicholas Alexander Preyss

A novel analog front-end architecture based on complex sub-Nyquist sampling for the intermediate frequency (IF) stage of a mmWave receiver is proposed. With this front-end, the use of a wideband hybrid coupler and two half-rate analog-to-digital converters ...

IEEE2015

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

Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems

Michaël Unser, Ulugbek Kamilov, Emrah Bostan

Cycle spinning is a widely used approach for improving the performance of wavelet-based methods that solve linear inverse problems. Extensive numerical experiments have shown that it significantly improves the quality of the recovered signal without increa ...

IEEE Institute of Electrical and Electronics Engineers2014

Digital acoustics: processing wave fields in space and time using DSP tools

Martin Vetterli, Mihailo Kolundzija, Francisco Pereira Correia Pinto

Systems with hundreds of microphones for acoustic field acquisition, or hundreds of loudspeakers for rendering, have been proposed and built. To analyze, design, and apply such systems requires a framework that allows us to leverage the vast set of tools a ...

2014

Compressive Source Separation: Theory and Methods for Hyperspectral Imaging

Pierre Vandergheynst, Mohammad Golbabaee

With the development of numbers of high resolution data acquisition systems and the global requirement to lower the energy consumption, the development of efficient sensing techniques becomes critical. Recently, Compressed Sampling (CS) techniques, which e ...

Institute of Electrical and Electronics Engineers2013

Autocalibrated Signal Reconstruction From Linear Measurements Using Adaptive Gamp

Michaël Unser, Ulugbek Kamilov, Aurélien Bourquard, Emrah Bostan

In this paper, we reconstruct signals from underdetermined linear measurements where the componentwise gains of the measurement system are unknown a priori. The reconstruction is performed through an adaptation of the message-passing algorithm called adapt ...

Ieee2013

Geometric Variational Models for Inverse Problems in Imaging

Virginia Estellers Casas

This dissertation develops geometric variational models for different inverse problems in imaging that are ill-posed, designing at the same time efficient numerical algorithms to compute their solutions. Variational methods solve inverse problems by the fo ...

EPFL2013

HIL Simulation of a Mixed Islanded Power Network with External DSP Regulator

Basile Kawkabani, Philippe Allenbach, André Hodder, György Atilla Bànyai, Sylvain Robert

The present paper deals with the development of a modular, flexible and structured block to block approach for the study of regulators by implementing the different blocks on a DSP (digital signal processor). The proposed low-cost approach has been applied ...

2012

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

Thomas Liechti

This thesis describes a novel digital background calibration scheme for pipelined ADCs with nonlinear interstage gain. Errors caused by the nonlinear gains are corrected in real-time by adaptively post-processing the digital stage outputs. The goal of this ...

EPFL2012

One-Bit Measurements With Adaptive Thresholds

Michaël Unser, Ulugbek Kamilov, Aurélien Bourquard, Arash Amini

We introduce a new method for adaptive one-bit quantization of linearmeasurements and propose an algorithm for the recovery of signals based on generalized approximate message passing (GAMP). Our method exploits the prior statistical information on the sig ...

IEEE Institute of Electrical and Electronics Engineers2012

Polymer-electrolyte gated graphene transistors for analog and digital phase detection

Klaus Kern, Marko Burghard, Kannan Balasubramanian

We present an alternating current (ac) circuit based on a misoriented bilayer graphene device for analog and digital phase detection. We exploit the ambipolar nature of the transfer characteristics of a misoriented bilayer graphene transistor. The transist ...

AIP American Institute of Physics2011