An algorithm for efficient and accurate computation of the fractional Fourier transform is
given. For signals with time-bandwidth product N, the presented algorithm computes the …

Here's an innovative hands-on book on time-frequency transforms for radar imaging and
signal analysis. It teaches you more efficient ways to extract dispersive scattering features; …

We propose and consolidate a definition of the discrete fractional Fourier transform that
generalizes the discrete Fourier transform (DFT) in the same sense that the continuous …

The discrete fractional Fourier transform (DFRFT) is the generalization of discrete Fourier
transform. Many types of DFRFT have been derived and are useful for signal processing …

For time-invariant degradation models and stationary signals and noise, the classical
Fourier domain Wiener filter, which can be implemented in O (N log N) time, gives the …

The continuous fractional Fourier transform (FRFT) performs a spectrum rotation of signal in
the time-frequency plane, and it becomes an important tool for time-varying signal analysis …

The fractional Fourier transform (FRFT) is a useful tool for signal processing. It is the
generalization of the Fourier transform. Many fractional operations, such as fractional …

The fractional Fourier transform (FRFT), which is a generalization of the Fourier transform,
has many applications in several areas, including signal processing and optics. Almeida …

We have generalized the Hilbert transform by defining the fractional Hilbert transform (FHT)
operation. In the first stage, two different approaches for defining the FHT are suggested …

As the fractional Fourier transform has attracted a considerable amount of attention in the
area of optics and signal processing, the discretization of the fractional Fourier transform …