% for each trial in the 3D time-frequency arrays X and Y. % Inputs: % X - [M_X × T × N] complex, TF coefficients of signal X % Y - [M_Y × T × N] complex, TF coefficients of signal Y % in - [1 × M_X] ...

The lifting scheme offers a refined approach to implementing the Discrete Wavelet Transform (DWT) by decomposing traditional convolution-based filtering into a succession of simple, in-place ...

Abstract: This study delves into two fault localization techniques in power transmission systems, specifically focusing on the Discrete Wavelet Transform (DWT) and the DifferentiatorSmoother (DS) ...

The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...

Abstract: The aggregate traffic of rapid Internet traffic have shown to be multifractal because of the self-similarity behavior at all time scales. In this paper, we study the stochastic properties ...

The Discrete Wavelet Transform (DWT) has gained the reputation of being a very effective signal analysis tool for many practical applications. This paper presents an approach towards VLSI ...

This repository contains a specialized MATLAB framework for the acquisition, filtering, and analysis of biological signals (EEG and EMG). The suite is designed to handle the complexities of ...