Publications related to Sparse Reverberant Audio Source Separation via Reweighted Analysis

An Efficient Signal-to-noise Approximation for Eccentric Inspiraling Binaries

Eccentricity has emerged as a potentially useful tool for helping to identify the origin of black hole mergers. However, eccentric templates can be computationally very expensive owing to the large number of harmonics, making statistical analyses to distin ...

IOP Publishing Ltd2022

Analysis and Reduction of Large Errors in Rayleigh-based Distributed Sensor

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Li Zhang, Luis Costa

Commonly, the frequency shift of back-reflection spectra is the key parameter to measure quantitatively local temperature or strain changes in frequency-scanned Rayleigh-based distributed fiber sensors. Cross-correlation is the most common method to estima ...

2019

Sampling Continuous-time Sparse Signals: A Frequency-domain Perspective

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We address the problem of sampling and reconstruction of sparse signals with finite rate of innovation. We derive general conditions under which perfect reconstruction is possible for sampling kernels satisfying Strang-Fix conditions. Previous results on t ...

2018

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval

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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 ...

2018

MULAN: 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)2018

An Adaptive Sublinear-Time Block Sparse Fourier Transform

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The problem of approximately computing the

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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 ...

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Signal Analysis Based on Complex Wavelet Signs

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We propose a signal analysis tool based on the sign (or the phase) of complex wavelet coefficients, which we call a signature. The signature is defined as the fine-scale limit of the signs of a signal's complex wavelet coefficients. We show that the signat ...

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Measuring the instantaneous frequency of a signal rapidly and accurately is essential in many applications. However, the instantaneous frequency by definition is a parameter difficult to determine. Fourier-based methods introduce estimation delays as compu ...

Institute of Physics2016

Spatial fringe analysis techniques for multiple phase and phase derivative estimation

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Analysis of fringe patterns for the accurate estimation of phase and phase derivatives is of crucial importance in optical interferometry as these quantities provide important information on the physical parameters under study. A wide range of applications ...

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On spurious and real fluctuations of dynamic functional connectivity during rest

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Functional brain networks reconfigure spontaneously during rest. Such network dynamics can be studied by dynamic functional connectivity (dynFC); i.e., sliding-window correlations between regional brain activity. Key parameters-such as window length and cu ...

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Sparse Reverberant Audio Source Separation via Reweighted Analysis

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An Efficient Signal-to-noise Approximation for Eccentric Inspiraling Binaries

Analysis and Reduction of Large Errors in Rayleigh-based Distributed Sensor

Sampling Continuous-time Sparse Signals: A Frequency-domain Perspective

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Signal Analysis Based on Complex Wavelet Signs

Real-time multi-signal frequency tracking with a bank of notch filters to estimate the respiratory rate from the ECG

Spatial fringe analysis techniques for multiple phase and phase derivative estimation

On spurious and real fluctuations of dynamic functional connectivity during rest

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval

Analysis and Reduction of Large Errors in Rayleigh-based Distributed Sensor

Signal Analysis Based on Complex Wavelet Signs

An Adaptive Sublinear-Time Block Sparse Fourier Transform

An Efficient Signal-to-noise Approximation for Eccentric Inspiraling Binaries

Sampling Continuous-time Sparse Signals: A Frequency-domain Perspective

Spatial fringe analysis techniques for multiple phase and phase derivative estimation

Real-time multi-signal frequency tracking with a bank of notch filters to estimate the respiratory rate from the ECG

On spurious and real fluctuations of dynamic functional connectivity during rest