Time-frequency signal analysis based on the windowed fractional Fourier transform
Signal Processing - Special issue: Fractional signal processing and applications
Sampling of linear canonical transformed signals
Signal Processing
Short-time fractional fourier transform and its applications
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Short-time Fourier transform: two fundamental properties and an optimal implementation
IEEE Transactions on Signal Processing
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In this paper, we generalize the windowed Fourier transform to the windowed linear canonical transform by substituting the Fourier transform kernel with the linear canonical transform kernel in the windowed Fourier transform definition. It offers local contents, enjoys high resolution, and eliminates cross terms. Some useful properties of the windowed linear canonical transform are derived. Those include covariance property, orthogonality property and inversion formulas. As applications analogues of the Poisson summation formula, sampling formulas and series expansions are given.