The rapidly expanding field of big data analytics has started to play a pivotal role in the
evolution of healthcare practices and research. It has provided tools to accumulate, manage …

Discrete Fourier transform (DFT) implementation requires high computational resources and
time; a computational complexity of order O (N 2) for a signal of size N. Fast Fourier …

The Applied and Numerical Harmonic Analysis (ANHA) book series aims to provide the
engineering, mathematical, and scientific communities with significant developments in …

The discrete fractional Fourier transform is a powerful signal processing tool with broad
applications for nonstationary signals. In this paper, we propose a sparse discrete fractional …

The ability to efficiently load functions on quantum computers with high fidelity is essential
for many quantum algorithms, including those for solving partial differential equations and …

Spacecraft health monitoring and failure prevention are major issues in space operations. In
recent years, machine learning techniques have received an increasing interest in many …

The radar echoes of moving targets in a clutter background are extremely weak and their
characteristics are complex. A low-observable moving target detection technology has …

Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture
with greater angular resolution than is inherently possible from the physical dimensions of a …

Magnetic resonance (MR) image acquisition is an inherently prolonged process, whose
acceleration has long been the subject of research. This is commonly achieved by obtaining …

In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is
proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving …