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 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 paper presents a method for reconstructing Optical Coherence Tomography (OCT) images from incomplete data, a crucial advancement for mitigating acquisition time and motion artifacts.

This project implements a custom algorithm for denoising noisy grayscale images using the Discrete Wavelet Transform (DWT) with the Haar wavelet, implemented from scratch in Python. The algorithm ...

Recent applied mathematics research on the properties of the invertible shift-invariant discrete wavelet transform has produced new ways to visualize, separate, and synthesize impulsive sounds, such ...

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

Abstract: Infrared small target detection (IRSTD) is of great practical significance in many real-world applications, such as maritime rescue and early warning systems, benefiting from the unique and ...

Wavelet analysis is a relatively new tool for data analysis and signal processing. Similar to Fourier analysis, wavelet analysis identifies dominant periods or scales in one-dimensional and ...