Conference PaperIn this paper, we introduce a new set of tools for time-varying spectral analysis: the pseudo affine Wigner distributions. Based on the affine Wigner distributions of J. and P. Bertrand, these new time-scale distributions support efficient online operation at the same computational cost as the continuous wavelet transform. Moreover, they take advantage of the proportional bandwidth smoothing inherent in the sliding structure of their implementation to suppress cumbersome interference components. To formalize their place within the echelon of the affine class of time-scale distributions, we extend the definition of this class and introduce other natural generators
Various time-frequency pseudo-density functions used in signal analysis are compared with respect to...
Conventional methods for signal analysis utilise the Fourier Transform to estimate the spectral resp...
The paper deals with analysis and time-frequency representation of multicomponent signals characteri...
Journal PaperIn this paper, we introduce a new set of tools for time-varying spectral analysis: the ...
Using the pseudo-Wigner time-frequency distribution as a guide, we derive two new timescale represen...
Journal PaperUsing the pseudo-Wigner time-frequency distribution as a guide, we derive two new time-...
International audienceThe theory of a new general class of signal energy representations depending o...
International audienceThe theory of a new general class of signal energy representations depending o...
We have previously presented a method to write equations for the Wigner distribution corresponding t...
Time-frequency distributions are used in the analysis and processing of nonstationary signals. The W...
A tutorial review of several mixed time-frequency representations of signals and systems is presente...
Abstmct-The Wigner-Ville spectrum has been recently introduced as the unique generalized spectrum fo...
To ensure that the discrete Wigner-Ville distribution (DWVD) does not contain aliasing terms, the an...
Various time-frequency pseudo-density functions used in signal analysis are compared with respect to...
Various time-frequency pseudo-density functions used in signal analysis are compared with respect to...
Various time-frequency pseudo-density functions used in signal analysis are compared with respect to...
Conventional methods for signal analysis utilise the Fourier Transform to estimate the spectral resp...
The paper deals with analysis and time-frequency representation of multicomponent signals characteri...
Journal PaperIn this paper, we introduce a new set of tools for time-varying spectral analysis: the ...
Using the pseudo-Wigner time-frequency distribution as a guide, we derive two new timescale represen...
Journal PaperUsing the pseudo-Wigner time-frequency distribution as a guide, we derive two new time-...
International audienceThe theory of a new general class of signal energy representations depending o...
International audienceThe theory of a new general class of signal energy representations depending o...
We have previously presented a method to write equations for the Wigner distribution corresponding t...
Time-frequency distributions are used in the analysis and processing of nonstationary signals. The W...
A tutorial review of several mixed time-frequency representations of signals and systems is presente...
Abstmct-The Wigner-Ville spectrum has been recently introduced as the unique generalized spectrum fo...
To ensure that the discrete Wigner-Ville distribution (DWVD) does not contain aliasing terms, the an...
Various time-frequency pseudo-density functions used in signal analysis are compared with respect to...
Various time-frequency pseudo-density functions used in signal analysis are compared with respect to...
Various time-frequency pseudo-density functions used in signal analysis are compared with respect to...
Conventional methods for signal analysis utilise the Fourier Transform to estimate the spectral resp...
The paper deals with analysis and time-frequency representation of multicomponent signals characteri...