% 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 ...
This project provides an interactive desktop application for comparing different image denoising algorithms on grayscale images corrupted by various types of noise. The primary goal is to demonstrate ...
Noise suppression is a key component in microseismic monitoring technology. Accurate denoising of microseismic signals is crucial for ensuring reliable data for locating mining-related seismic events ...
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 ...
Abstract: Epileptic seizure detection using multimodal neural signals has the potential to improve diagnostic reliability compared to unimodal approaches. In this work, we present a ...
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) ...
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