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 ...

Abstract: This work presents the design and implementation of a multiply–accumulate discrete wavelet packet transform (MAC-DWPT) architecture for estimating power quality indices (PQ indices) on a ...

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 ...

The full documentation is also available here. This package provides support for computing the 2D discrete wavelet and the 2d dual-tree complex wavelet transforms, their inverses, and passing ...

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 ...

This repository implements a Hybrid Wavelet-Convolutional Neural Network (CNN) for despeckling Synthetic Aperture Radar (SAR) imagery. SAR data is inherently corrupted by multiplicative speckle noise, ...

Wavelet transform is being widely used in the field of information processing. One-dimension and two-dimension quantum wavelet transforms have been investigated. However, three-dimensional quantum ...