Sampling and series expansion theorems for fractional Fourier and other transforms
Signal Processing - Special issue: Fractional signal processing and applications
Parseval's relationship for nonuniform samples of signals withseveral variables
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Discrete fractional Fourier transform based on orthogonalprojections
IEEE Transactions on Signal Processing
Method for defining a class of fractional operations
IEEE Transactions on Signal Processing
The discrete fractional Fourier transform
IEEE Transactions on Signal Processing
Closed-form discrete fractional and affine Fourier transforms
IEEE Transactions on Signal Processing
The fractional Fourier transform and time-frequency representations
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing - Part I
Digital computation of the fractional Fourier transform
IEEE Transactions on Signal Processing
An uncertainty principle for real signals in the fractional Fouriertransform domain
IEEE Transactions on Signal Processing
Speech recovery based on the linear canonical transform
Speech Communication
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The theorem of sampling formulae has been deduced for band-limited or time-limited signals in the fractional Fourier domain by different authors. Even though the properties and applications of these formulae have been studied extensively in the literature, none of the research papers throw light on the Poisson sum formula and non-band-limited signals associated with the fractional Fourier transform (FrFT). This paper investigates the generalized pattern of Poisson sum formula from the FrFT point of view and derived several novel sum formulae associated with the FrFT. Firstly, the generalized Poisson sum formula is obtained based on the relationship of the FrFT and the Fourier transform; then some new results associated with this novel sum formula have been derived; the potential applications of these new results in estimating the bandwidth and the fractional spectrum shape of a signal in the fractional Fourier domain are also proposed. In addition, the results can be seen as the generalization of the classical results in the Fourier domain.