Publications related to Signal separation

Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images

Harold Gabriel Eugène Justin Clenet, Nicolas Courty

Hyperspectral (HS) images are commonly used in the context of planetary exploration, particularly for the analysis of the composition of planets. As several instruments have been sent throughout the Solar System, a huge quantity of data is getting availabl ...

Institute of Electrical and Electronics Engineers2016

Iterative signal separation based multiple phase estimation in digital holographic interferometry

Pramod Rastogi, Rishikesh Dilip Kulkarni

We propose a new method for signal separation from a multicomponent interference field recorded in a digital holographic interferometry setup. The setup consisting of multiple object illuminating beams results in an interference field containing multiple s ...

Optical Society of America2015

Multiple phase estimation via signal separation using a windowed Fourier transform in digital holographic interferometry

Pramod Rastogi, Rishikesh Dilip Kulkarni

This paper proposes a novel method for the simultaneous estimation of multiple interference phases from a single recording of the interference field in a multi-wave digital holographic interferometry set-up. The method involves the separation of signal com ...

Institute of Physics2015

RELICA: A method for estimating the reliability of independent components

Silvestro Micera, Fiorenzo Artoni

Independent Component Analysis (ICA) is a widely applied data-driven method for parsing brain and non-brain EEG source signals, mixed by volume conduction to the scalp electrodes, into a set of maximally temporally and often functionally independent compon ...

Elsevier2014

Model-based Sparse Component Analysis for Reverberant Speech Localization

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammadjavad Taghizadeh

This paper proposes a speech localization framework based on model-based sparse recovery. We compare and contrast the computational sparse optimization methods incorporating harmonicity and block structures as well as autoregressive dependencies underlying ...

IEEE2014

Reverberant Audio Source Separation via Sparse and Low-Rank Modeling

Pierre Vandergheynst

The performance of audio source separation from underde- termined convolutive mixture assuming known mixing filters can be significantly improved by using an analysis sparse prior optimized by a reweighting l1 scheme and a wideband data- fidelity term, as ...

Institute of Electrical and Electronics Engineers2014

Model-based Sparse Component Analysis for Reverberant Speech Localization

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammadjavad Taghizadeh

In this paper, the problem of multiple speaker localization via speech separation based on model-based sparse recovery is studies. We compare and contrast computational sparse optimization methods incorporating harmonicity and block structures as well as a ...

2014

Simultaneous measurement of in-plane and out-of-plane displacements using pseudo-Wigner-Hough transform

Pramod Rastogi, Rishikesh Dilip Kulkarni

A new method based on pseudo-Wigner-Hough transform is proposed for the simultaneous measurement of the in-plane and out-of-plane displacements using digital holographic moire. Multiple interference phases corresponding to the in-plane and out-of-plane dis ...

Optical Society of America2014

Sparse Reverberant Audio Source Separation via Reweighted Analysis

Jean-Philippe Thiran, Pierre Vandergheynst, Yves Wiaux, Rafael Eduardo Carrillo Rangel

We propose a novel algorithm for source signals estimation from an underdetermined convolutive mixture assuming known mixing filters. Most of the state-of-the-art methods are dealing with anechoic or short reverberant mixture, assuming a synthesis sparse p ...

Institute of Electrical and Electronics Engineers2013

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Signal separation

Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images

Iterative signal separation based multiple phase estimation in digital holographic interferometry

Multiple phase estimation via signal separation using a windowed Fourier transform in digital holographic interferometry

RELICA: A method for estimating the reliability of independent components

Model-based Sparse Component Analysis for Reverberant Speech Localization

Reverberant Audio Source Separation via Sparse and Low-Rank Modeling

Model-based Sparse Component Analysis for Reverberant Speech Localization

Simultaneous measurement of in-plane and out-of-plane displacements using pseudo-Wigner-Hough transform

Sparse Reverberant Audio Source Separation via Reweighted Analysis

Sparsity-Promoting Spatiotemporal Regularization for Data Mining in Functional Magnetic Resonance Imaging

Graph Chatbot

Chat with Graph Search

Reverberant Audio Source Separation via Sparse and Low-Rank Modeling

Multiple phase estimation via signal separation using a windowed Fourier transform in digital holographic interferometry

Iterative signal separation based multiple phase estimation in digital holographic interferometry

RELICA: A method for estimating the reliability of independent components

Model-based Sparse Component Analysis for Reverberant Speech Localization

Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images

Model-based Sparse Component Analysis for Reverberant Speech Localization

Sparse Reverberant Audio Source Separation via Reweighted Analysis

Simultaneous measurement of in-plane and out-of-plane displacements using pseudo-Wigner-Hough transform

Sparsity-Promoting Spatiotemporal Regularization for Data Mining in Functional Magnetic Resonance Imaging