% 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 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 ...

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: 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 ...

Abstract: The work is aimed on the development of advanced algorithms for analyzing the photoplethysmogram signal, which characterizes cardiac activity. We have designed an algorithm that separates ...

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 ...