Publications related to Spectral density estimation

Robust Distributed Estimation by Networked Agents

Diffusion adaptive networks tasked with solving estimation problems have attracted attention in recent years due to their reliability, scalability, resource efficiency, and resilience to node and link failure. Diffusion adaptation strategies that are based ...

2017

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Martin Vetterli, Paul Hurley, Thierry Blu, Matthieu Martin Jean-André Simeoni, Hanjie Pan

Context. Two main classes of imaging algorithms have emerged in radio interferometry: the CLEAN algorithm and its multiple variants, and compressed-sensing inspired methods. They are both discrete in nature, and estimate source locations and intensities on ...

2017

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu

Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused on th ...

Frontiers Research Foundation2017

Robust Bounds In Multivariate Extremes

Sebastian Engelke

Extreme value theory provides an asymptotically justified framework for estimation of exceedance probabilities in regions where few or no observations are available. For multivariate tail estimation, the strength of extremal dependence is crucial and it is ...

Institute of Mathematical Statistics2017

Sparse inverse problems for Fourier imaging

Anna Auria Rasclosa

Many natural images have low intrinsic dimension (a.k.a. sparse), meaning that they can be represented with very few coefficients when expressed in an adequate domain. The recent theory of Compressed Sensing exploits this property offering a powerful frame ...

EPFL2017

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation

Kyong Hwan Jin

While the recent theory of compressed sensing provides an opportunity to overcome the Nyquist limit in recovering sparse signals, a solution approach usually takes the form of an inverse problem of an unknown signal, which is crucially dependent on specifi ...

IEEE2017

On-the-Fly Audio Source Separation-A Novel User-Friendly Framework

Dalia Salem Hassan Fahmy El Badawy

This paper addresses the challenging problem of single-channel audio source separation. We introduce a novel userguided framework where source models that govern the separation process are learned on-the-fly from audio examples retrieved online. The user o ...

2017

Global Identification of Kinetic Parameters via the Extent-based Incremental Approach

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues

The identification of reaction kinetics represents the main challenge in building models for reaction systems. The identification task can be performed via either simultaneous model identification (SMI) or incremental model identification (IMI), the latter ...

2017

Stationary signal processing on graphs

Pierre Vandergheynst, Nathanaël Perraudin

Graphs are a central tool in machine learning and information processing as they allow to conveniently capture the structure of complex datasets. In this context, it is of high importance to develop flexible models of signals defined over graphs or network ...

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

Spectral density estimation

Graph Chatbot

Chat with Graph Search

Robust Distributed Estimation by Networked Agents

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

Robust Bounds In Multivariate Extremes

Sparse inverse problems for Fourier imaging

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation

On-the-Fly Audio Source Separation-A Novel User-Friendly Framework

Global Identification of Kinetic Parameters via the Extent-based Incremental Approach

Stationary signal processing on graphs

An Adaptive Sublinear-Time Block Sparse Fourier Transform

On-the-Fly Audio Source Separation-A Novel User-Friendly Framework

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Robust Bounds In Multivariate Extremes

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

Robust Distributed Estimation by Networked Agents

Sparse inverse problems for Fourier imaging

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation

Global Identification of Kinetic Parameters via the Extent-based Incremental Approach

Stationary signal processing on graphs

An Adaptive Sublinear-Time Block Sparse Fourier Transform