International audienceIn this correspondence, we propose a novel approach to the reconstruction of finite signal derivatives from the extrema of a multiscale representation, first introduced by Berkner. We show that this reconstruction procedure naturally leads to the definition of a signal characteristic scale. We also focus on signal approximation from the multiscale extrema representation of one of its derivatives. Numerical applications involve the use of the signal characteristic scale for transient estimation and also the study of the new signal approximation method we propos
The problem of recovering signals from the Short-Time Fourier Transform (STFT) magnitude is of param...
Abstract|We analyze the representation of peri-odic signals in a scaling function basis. This rep-re...
A novel approach to the problem of signal extrapolation from its Hartley transform magnitudes is pre...
This paper considers the problem to reconstruct and approximate multidimensional signals from nonuni...
A general approach for obtaining joint representations in signal analysis is presented. The method i...
The wavelet extrema representation originated by Stephane Mallat is a unique framework for low-level...
This article shows how discrete derivative approximations can be defined so thatscale-space properti...
International audienceWe present a general Fourier-based formalism which provides an accurate predic...
International audienceWe present a general Fourier-based method which provides an accurate predictio...
We present a general Fourier-based formalism which pro-vides an accurate prediction of the approxima...
Natural signals are often characterized by a complex time-frequency behaviour. These signals exist i...
A three-step procedure for the parameter estimation of transient multiexponential signals is propos...
A unified approach for the estimation of the first three phase derivatives of non-stationary signals...
Abstract—We present a general Fourier-based method which provides an accurate prediction of the appr...
We present a new method for signal reconstruction from multiple sets of samples with unknown offsets...
The problem of recovering signals from the Short-Time Fourier Transform (STFT) magnitude is of param...
Abstract|We analyze the representation of peri-odic signals in a scaling function basis. This rep-re...
A novel approach to the problem of signal extrapolation from its Hartley transform magnitudes is pre...
This paper considers the problem to reconstruct and approximate multidimensional signals from nonuni...
A general approach for obtaining joint representations in signal analysis is presented. The method i...
The wavelet extrema representation originated by Stephane Mallat is a unique framework for low-level...
This article shows how discrete derivative approximations can be defined so thatscale-space properti...
International audienceWe present a general Fourier-based formalism which provides an accurate predic...
International audienceWe present a general Fourier-based method which provides an accurate predictio...
We present a general Fourier-based formalism which pro-vides an accurate prediction of the approxima...
Natural signals are often characterized by a complex time-frequency behaviour. These signals exist i...
A three-step procedure for the parameter estimation of transient multiexponential signals is propos...
A unified approach for the estimation of the first three phase derivatives of non-stationary signals...
Abstract—We present a general Fourier-based method which provides an accurate prediction of the appr...
We present a new method for signal reconstruction from multiple sets of samples with unknown offsets...
The problem of recovering signals from the Short-Time Fourier Transform (STFT) magnitude is of param...
Abstract|We analyze the representation of peri-odic signals in a scaling function basis. This rep-re...
A novel approach to the problem of signal extrapolation from its Hartley transform magnitudes is pre...