Over the last decade, it has been demonstrated that many systems in science and
engineering can be modeled more accurately by fractional-order than integer-order …

As a generalization of the classical Fourier transform (FT), the fractional Fourier transform
(FRFT) has proven to be a powerful tool for signal processing and analysis. However, it is …

Attention has been focused on the moving target detection in heavy sea clutter. On the basis
of detection model of moving target with fluctuant amplitudes, a novel adaptive algorithm in …

We propose analytical formulations, approximations, upper and lower bounds for the angle
sweep of maximum magnitude of fractional Fourier transform of mono-and multicomponent …

This article addresses the problem of fast and accurate chirp signal parameter estimation in
fractional Fourier domains. By employing a perturbation analysis, it is shown that the …

This paper addresses the problem of estimating the parameters of adaptive directional time–
frequency distributions (ADTFDs). ADTFDs locally optimize the direction of the smoothing …

The Fourier transform (FT) is a mathematical tool widely used in signal processing
applications; however, it presents limitations when dealing with non-stationary time series …

Abstract The Locally Optimized Spectrogram (LOS) defines a novel method for obtaining a
high-resolution time–frequency (t, f) representation based on the short-time fractional Fourier …

This letter presents a novel signal processing method for HF surface wave radar that offers a
solution to suppress significant sea clutter interference. Conventional clutter rejection …

A novel adaptive filtering scheme based on fractional Fourier transform (FrFT) is introduced
and characterized. As a generalization of the ordinary Fourier transform, FrFT is a powerful …