Publications de Pier Luigi Dragotti

Rigorous Assessment of Natural Frequencies of Fault-Originated Travelling Waves

Pier Luigi Dragotti, Mario Paolone, Hamidreza Karami, Zhaoyang Wang

This paper presents a rigorous assessment of natural frequencies associated with fault-originated travelling waves in power networks, factoring in the presence of multiple junctions and branches. The proposed assessment exploits the Baum-Liu-Tesche (BLT) e ...

2024

Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing

Pascal Frossard, Pier Luigi Dragotti

The papers in this special issue are intended to address some of the main research challenges in Graph Signal Processing by presenting a collection of the latest advances in the domain. These papers examine key representation, learning and processing aspec ...

2017

Introduction to the COOPERATIVE SPECIAL ISSUE ON GRAPH SIGNAL PROCESSING IN THE IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING AND THE IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS

Pascal Frossard, Pier Luigi Dragotti

Ieee-Inst Electrical Electronics Engineers Inc2017

Localizing Point Sources in Diffusion Fields from Spatiotemporal Samples

Martin Vetterli, Pier Luigi Dragotti, Yue Lu

2011

Localization of Diffusive Sources Using Spatiotemporal Measurements

Martin Vetterli, Pier Luigi Dragotti, Yue Lu

Consider a diffusion field induced by a finite number of localized and instantaneous sources. In this paper, we study the problem of estimating these sources (including their intensities, spatial locations, and activation time) from the spatiotemporal samp ...

2011

Sparse Sampling of Signal Innovations

Martin Vetterli, Pina Marziliano, Pier Luigi Dragotti, Thierry Blu, Lionel Coulot

Sparse sampling of continuous-time sparse signals is addressed. In particular, it is shown that sampling at the rate of innovation is possible, in some sense applying Occam's razor to the sampling of sparse signals. The noisy case is analyzed and solved, p ...

Institute of Electrical and Electronics Engineers2008

Subspace-Based Methods for Image Registration and Super-Resolution

Martin Vetterli, Pier Luigi Dragotti, Loïc Arnaud Baboulaz, Patrick Vandewalle

Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of attention recently in various application domains such as HDTV, satellite imaging, and video surveillance. These techniques ...

2008

Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang-Fix

Martin Vetterli, Pier Luigi Dragotti, Thierry Blu

Consider the problem of sampling signals which are not bandlimited, but still have a finite number of degrees of freedom per unit of time, such as, for example, nonuniform splines or piecewise polynomials, and call the number of degrees of freedom per unit ...

Institute of Electrical and Electronics Engineers2007

Sensing reality and communicating bits: A dangerous liaison

Martin Vetterli, Pier Luigi Dragotti, Michael Christoph Gastpar

The successful design of sensor network architectures depends crucially on the structure of the sampling, observation, and communication processes. One of the most fundamental questions concerns the sufficiency of discrete approximations in time, space, an ...

2006

The Distributed Karhunen-Loève Transform

Martin Vetterli, Pier Luigi Dragotti, Michael Christoph Gastpar

The Karhunen–Loève transform (KLT) is a key ele- ment of many signal processing and communication tasks. Many recent applications involve distributed signal processing, where it is not generally possible to apply the KLT to the entire signal; rather, the K ...

2006

Sensing and communication with and without bits

Martin Vetterli, Pier Luigi Dragotti, Michael Christoph Gastpar

The successful design of sensor network architectures depends crucially on the structure of the sampling, observation, and communication processes. One of the most fundamental ques- tions concerns the sufficiency of discrete approximations in time, space, ...

2006

Exact Local Reconstruction Algorithms for Signals with Finite Rate of Innovation

Martin Vetterli, Pier Luigi Dragotti, Thierry Blu

Consider the problem of sampling signals which are not bandlimited, but still have a finite number of degrees of freedom per unit of time, such as, for example, piecewise polynomial or piecewise sinusoidal signals, and call the number of degrees of freedom ...

2006

Low-Rate Reduced Complexity Image Compression using Directionlets

Martin Vetterli, Pier Luigi Dragotti, Vladan Velisavljevic

The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to capture efficiently one-dimensional (1-D) disco ...

2006

Directionlets: Anisotropic Multidirectional representation with separable filtering

Martin Vetterli, Pier Luigi Dragotti, Vladan Velisavljevic

In spite of the success of the standard wavelet transform (WT) in image processing in recent years, the efficiency of its representation is limited by the spatial isotropy of its basis functions built in the horizontal and vertical directions. One-dimensio ...

2006

Rate-Distortion Optimized Tree-Structured Compression Algorithms for Piecewise Polynomial Images

Martin Vetterli, Minh Do, Pier Luigi Dragotti, Rahul Shukla

This paper presents novel coding algorithms based on tree-structured segmentation, which achieve the correct asymp- totic rate-distortion (R-D) behavior for a simple class of signals, known as piecewise polynomials, by using an R-D based prune and join sch ...

2005