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 …

摘要近年来, 结构光三维成像技术被深入研究和广泛应用, 通常采用的技术方案是投影一个载频
条纹到被测物体表面, 利用成像设备从另一个角度记录受被测物体高度调制的变形条纹图像 …

The S-transform is an invertible time-frequency spectral localization technique which
combines elements of wavelet transforms and short-time Fourier transforms. In previous …

The study presents a differential scheme for microgrid protection using time‐frequency
transform such as S‐transform. Initially, the current at the respective buses are retrieved and …

This paper presents an effective scheme for classification of the normal white blood cells
from the affected cells in a microscopic image. The proposed method initially pre-processes …

In time–frequency analysis, generalization of S-transform (ST) is known as fractional S-
transform. Recently, fractional S-transform (FrST) has played an important role in the area of …

Achieving a proper time-frequency (TF) resolution is the key to extract information from
seismic data using TF algorithms and characterize reservoir properties using decomposed …

Detection and classification of any anomaly at its commencement are very crucial for optimal
management of assets in power system grids. This paper presents a novel hybrid approach …

The S transform (ST) is one of the most commonly used time-frequency (TF) analysis
algorithms and is commonly used in assisting reservoir characterization and hydrocarbon …

The local changes of the spectrum with time are often more interesting than the spectrum of
the whole time series. For example, there is an apparent drift in the nominal 28 day …