Using the recently introduced Hermitian fractional operator within the characteristic function operator method, we derive joint fractional representations (JFRs) of signals. JFRs are functions of fractional variables defined by the fractional Fourier transform (FRFT). The JFRs generalize the conventional time-frequency representations in the same manner as the FRFT generalizes the conventional Fourier transform. We derive the fractional counterparts of the well-known time-frequency analysis tools such as the ambiguity function (AF) and the Wigner distribution (WD) and present some of their properties. We also analytically compute the fractional AF and the fractional WD of some simple functions and provide plots for a Gaussian amplitude-modu...
Abstract — The connection between the Wigner distribu-tion and the squared modulus of the fractional...
The fractional Fourier transform, which is a generalization of the ordinary Fourier transform (FT), ...
It is shown how all global Wigner distribution moments of arbitrary order in the output plane of a (...
Using the recently introduced Hermitian fractional operator within the characteristic function opera...
By using Cohen\u27s characteristic function operator method, we derive the formulation of joint frac...
We give an overview of the fractional Fourier transform (FrFT), summarize some fundamental propertie...
The 2-D signal representations of variables rather than time and frequency have been proposed based ...
Abstract—The fractional Fourier transform (FRFT) is a useful tool for signal processing. It is the g...
A fractional-Fourier-domain realization of the weighted Wigner distribution producing auto-terms clo...
Inspired by the recent popularity of the fractional Fourier transform (FRFT) and motivated by the us...
A Fourier transformation maps a one-dimensional time signal into a one-dimensional frequency functio...
Different types of joint time-frequency representations are used in signal processing. The advantage...
The connection between the Wigner distribution and the squared modulus of the fractional Fourier tra...
A joint fractional domain signal representation is proposed based on an intuitive understanding from...
Abstract — The connection between the Wigner distribu-tion and the squared modulus of the fractional...
The fractional Fourier transform, which is a generalization of the ordinary Fourier transform (FT), ...
It is shown how all global Wigner distribution moments of arbitrary order in the output plane of a (...
Using the recently introduced Hermitian fractional operator within the characteristic function opera...
By using Cohen\u27s characteristic function operator method, we derive the formulation of joint frac...
We give an overview of the fractional Fourier transform (FrFT), summarize some fundamental propertie...
The 2-D signal representations of variables rather than time and frequency have been proposed based ...
Abstract—The fractional Fourier transform (FRFT) is a useful tool for signal processing. It is the g...
A fractional-Fourier-domain realization of the weighted Wigner distribution producing auto-terms clo...
Inspired by the recent popularity of the fractional Fourier transform (FRFT) and motivated by the us...
A Fourier transformation maps a one-dimensional time signal into a one-dimensional frequency functio...
Different types of joint time-frequency representations are used in signal processing. The advantage...
The connection between the Wigner distribution and the squared modulus of the fractional Fourier tra...
A joint fractional domain signal representation is proposed based on an intuitive understanding from...
Abstract — The connection between the Wigner distribu-tion and the squared modulus of the fractional...
The fractional Fourier transform, which is a generalization of the ordinary Fourier transform (FT), ...
It is shown how all global Wigner distribution moments of arbitrary order in the output plane of a (...