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 ...

Abstract: This correspondence proposes an efficient algorithm for removing Gaussian noise from corrupted image by incorporating a wavelet-based trivariate shrinkage filter with a spatial-based joint ...

A digital twin is an exact virtual copy of a real-world system. Built using real-time data, they provide a platform to test, simulate, and optimize the performance of their physical counterpart. In ...

Abstract: In this tutorial, we review recent wavelet denoising techniques for medical ultrasound and for magnetic resonance images. We evaluate their implementation via MATLAB package and discuss ...

This repository hosts the project report and (optionally) code for the study “Comparative Evaluation of Hybrid Wavelet Thresholding vs Self-Attention GANs for EEG Artifact Removal”, completed as part ...