Texture analysis describes a variety of image-analysis techniques that quantify the variation
in surface intensity or patterns, including some that are imperceptible to the human visual …

Diagnostic radiology requires accurate interpretation of complex signals in medical images.
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …

Examining the frequency content of signals is critical in many applications, from
neuroscience to astronomy. Many techniques have been proposed to accomplish this. One …

The S-transform provides a framework for data-adaptive filters which take advantage of time-
frequency localized spectra. These filters basically consist in a data transformation to the …

We present a new efficient approach for characterizing image texture based on a recently
published discrete, orthonormal space-frequency transform known as the DOST. We …

Background: Some patients with low-grade glioma have extraordinarily long survival times;
current, early treatment does not prolong their lives. For this reason, therapies that …

The growing number of urban seismological experiments within the framework of seismic
hazard studies has increased the necessity of effective tools for denoising seismograms …

Electrocardiogram (ECG), a noninvasive technique which is used generally as a primary
diagnostic tool for cardiovascular diseases. A cleaned ECG signal provides necessary …

Since its appearing in 1996, the Stockwell transform (S-transform) has been applied to
medical imaging, geophysics and signal processing in general. In this paper, we prove that …

The goal of seeking advanced solutions to the descriptions of particle shape, packing and
tomographic measurement were key areas promoted by Professor Reg Davies. In this paper …