Abstract: Existing deep learning-based spatiotemporal fusion (STF) methods for remote sensing images primarily denoise low-frequency features. They neglect the impact of noise in high-frequency ...

Abstract: In passive acoustic monitoring, effective noise reduction of dolphin whistles is frequently compromised by ambient noise. A key challenge for wavelet-based denoising techniques lies in the ...

What is this fork for? This fork is dedicated to expand this code with new functionalities that are needed for my personal PhD project (the results of which can be found in this paper). Here's a (ever ...

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 ...

A practical step-by-step guide to wavelet analysis is given, with examples taken from time series of the El Niño-Southern Oscillation (ENSO). The guide includes a comparison to the windowed Fourier ...