The lifting scheme offers a refined approach to implementing the Discrete Wavelet Transform (DWT) by decomposing traditional convolution-based filtering into a succession of simple, in-place ...

Abstract: Developing a robust autonomous sea state estimation (SSE) model stands as a pivotal challenge in advancing autonomous ships. Presently, deep learning (DL) methodologies have showcased ...

This repository contains the PyTorch implementation for the paper: Wavelet-Enhanced PaDiM for Industrial Anomaly Detection. WE-PaDiM integrates the Discrete Wavelet Transform (DWT) with multi-layer ...

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 ...

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 ...

A comprehensive time series analysis project featuring wavelet transforms, forecasting, anomaly detection, and interactive visualization. This project demonstrates state-of-the-art methods for ...

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 ...