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 ...
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: 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 ...
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 ...
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 ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results