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: In this paper, two high-performance FPGA implementations of discrete wavelet transform (DWT) and relevant inverse discrete wavelet transform (IDWT) are proposed. At first, a DWT/IDWT aiming ...

The discrete wavelet transform (DWT) is essentially a set of bandpass filters and their efficient implementation. In this chapter, the implementation of the DWT using typical filters is described.

Parallelized GPU implementation of the 3D Discrete Wavelet Transform (3D-DWT) using CUDA C++, built for high-performance volume data processing and benchmarking against serial DWT. The project aims to ...

This package provides support for computing the 2D discrete wavelet and the 2d dual-tree complex wavelet transforms, their inverses, and passing gradients through both using pytorch. The ...

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 wind resources have been estimated by using physical models, statistical models, and artificial intelligence models. Wind power calculation helps us measure the annual energy that will sustain the ...

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 ...