International audienceIn this paper, we investigate the determination of an optimal window length associated with the computation of the short time Fourier transform of multicomponent signals. In recent years the Rényi entropy has been widely used for that purpose, but the understanding of the significance of the obtained minimum in relation with the studied signal is still partial. In this paper, we explain in what way the window minimizing the Rényi entropy reflects the modulation of the modes making up the signal, and in which circumstances to use such a window is actually relevant
Spectral decomposition is an important tool for analysis of seismic data.This paper deals with the t...
International audienceThis paper addresses the issues of the denoising and retrieval of the componen...
The problem of recovering signals from the Short-Time Fourier Transform (STFT) magnitude is of param...
International audienceIn this paper, we investigate the determination of an optimal window length as...
The windowed Fourier transform is one of the most widely used time-frequency representations. In or...
New methods of improving the short-time Fourier transform representation of signals have recently em...
The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent ...
The short-time linear canonical transform (STLCT) is a novel time-frequency analysis tool, which has...
The windowed Fourier transform is one of the most widely used time-frequency representations. In ord...
The inversion problem concerning the windowed Fourier transform is considered. It is shown that, out...
A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the s...
The S-transform combines properties of the short-time Fourier (STFT) and wavelet transforms. It pres...
The subject area of time-frequency analysis is concerned with creating meaningful representations of...
A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the s...
In this paper, we introduce two undirected graphs depending on supports of signals and windows, and ...
Spectral decomposition is an important tool for analysis of seismic data.This paper deals with the t...
International audienceThis paper addresses the issues of the denoising and retrieval of the componen...
The problem of recovering signals from the Short-Time Fourier Transform (STFT) magnitude is of param...
International audienceIn this paper, we investigate the determination of an optimal window length as...
The windowed Fourier transform is one of the most widely used time-frequency representations. In or...
New methods of improving the short-time Fourier transform representation of signals have recently em...
The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent ...
The short-time linear canonical transform (STLCT) is a novel time-frequency analysis tool, which has...
The windowed Fourier transform is one of the most widely used time-frequency representations. In ord...
The inversion problem concerning the windowed Fourier transform is considered. It is shown that, out...
A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the s...
The S-transform combines properties of the short-time Fourier (STFT) and wavelet transforms. It pres...
The subject area of time-frequency analysis is concerned with creating meaningful representations of...
A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the s...
In this paper, we introduce two undirected graphs depending on supports of signals and windows, and ...
Spectral decomposition is an important tool for analysis of seismic data.This paper deals with the t...
International audienceThis paper addresses the issues of the denoising and retrieval of the componen...
The problem of recovering signals from the Short-Time Fourier Transform (STFT) magnitude is of param...