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Text as signal. A tutorial with case studies focusing on social media (Twitter)
Related publications (82)
Sampling the Multiple Facets of Light
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 ...
EPFL2018MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Rémi Gribonval, Helena Peic Tukuljac
This paper addresses the general problem of blind echo retrieval, i.e., given M sensors measuring in the discrete-time domain M mixtures of K delayed and attenuated copies of an unknown source signal, can the echo locations and weights be recovered? This p ...
2018MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Rémi Gribonval, Helena Peic Tukuljac
This paper addresses the general problem of blind echo retrieval, i.e., given M sensors measuring in the discrete-time domain M mixtures of K delayed and attenuated copies of an unknown source signal, can the echo locations and weights be recovered? This p ...
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing
Graph filters, defined as polynomial functions of a graph-shift operator (GSO), play a key role in signal processing over graphs. In this work, we are interested in the adaptive and distributed estimation of graph filter coefficients from streaming graph s ...
IEEE COMPUTER SOC2018Implementation of FIR filters for fast multi-channel processing
Digital signal processors are ubiquitous in electronics, with applications ranging from sound processing to software-defined radio. Finite impulse response (FIR) filters are among the components that are used for the processing; the implementation is tailo ...
2017Multipliers-Driven Perturbation of Coefficients for Low-Power Operation in Reconfigurable FIR Filters
Andreas Peter Burg, Adam Shmuel Teman, Andrea Bonetti
Reconfigurable finite-impulse response (FIR) filters are one of the most widely implemented components in Internet of Things systems that require flexibility to support several target applications while consuming the minimum amount of power to comply with ...
Ieee-Inst Electrical Electronics Engineers Inc2017AUTOREGRESSIVE MOVING AVERAGE GRAPH FILTERS A STABLE DISTRIBUTED IMPLEMENTATION
We present a novel implementation strategy for distributed autoregressive moving average (ARMA) graph filters. Differently from the state of the art implementation, the proposed approach has the following benefits: (i) the designed filter coefficients come ...
Ieee2017Magnetic 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 Science2016Flexibeam: Analytic Spatial Filtering By Beamforming
Paul Hurley, Matthieu Martin Jean-André Simeoni
We propose a new, general, method for spatial filtering by beam-forming. The desired filter, specified analytically on an n-dimensional sphere, is extended to n+1-dimensional Euclidean space. A continuous beamforming function is then obtained by the n+1-di ...
Ieee2016Combinations of adaptive filters: performance and convergence properties
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