These days signal processing has the great importance in extracting important pathological
attributes of the subject (patient). This paper covers important aspects of Electrocardiogram …

A practical and insightful discussion of time-frequency analysis methods and technologies
Time–frequency analysis of seismic signals aims to reveal the local properties of …

The Stockwell transform is a signal processing tool based on Fourier transform (FT) with a
specific window function. The important properties of 1-dimensional (1-D) and 2 …

In this article, a new image encryption algorithm has been proposed for image security. This
algorithm is created with discrete orthogonal Stockwell transform (DOST) and fractional …

In the field of optics and signal processing, the novel quadratic-phase Fourier transform
(QPFT) has emerged as a powerful tool. However, it has a drawback as it fails in locating the …

Time–frequency analysis is an important tool used for the processing and interpretation of
non-stationary signals, such as seismic data and remote sensing data. In this paper, based …

The shortwave time service system is a vital land-based wireless time service solution,
serving as a supplement and backup to the global navigation satellite system. It ensures that …

In this paper, we introduce a new two-dimensional fractional Stockwell transform using the
kernel of the coupled fractional Fourier transform. We establish that the two-dimensional …

Sound Recognition is an important area of research having a prominent role in applications
related to acoustic scene recognition, noise level monitoring, and voice-enabled …

In this paper, we combine the benefits of the well-known special affine Fourier and Stockwell
transforms into a novel integral transform dubbed as special affine Stockwell transform and …