This project implements a complete pipeline for reading PGM images, performing wavelet decomposition/reconstruction using the Haar filter, and applying various ...

This project implements a custom algorithm for denoising noisy grayscale images using the Discrete Wavelet Transform (DWT) with the Haar wavelet, implemented from scratch in Python. The algorithm ...

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: Strong background noise hinders partial discharge (PD) detection and degrades deep learning models. This study proposes LWDenoiser, an adaptive Legendre multi-wavelet (LW) denoising module ...

Abstract: Signal as a noise confined to small scales or high frequency can be removed preferentially from noisy signals if some prior information is available. According to the uncertainty principle, ...