% 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 ...
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 ...
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 ...
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 ...
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