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: The combination of Discrete Wavelet Transform denoising and transfer learning provides an effective approach for the categorization of electromyography data in prosthetic control.

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: Single image super-resolution generation is a computer vision task that aims to enhance the detail and quality of a low-resolution image, generating a higher-resolution version. To date, ...

📌 Overview This project implements a chaos-based encryption technique combined with the Discrete Haar Wavelet Transform (DHWT) to securely encrypt an image and overlay it with another image. The ...

Epileptic Seizure Detection from Electroencephalogram Signals Based on 1-D CNN-LSTM Deep Learning Model Using Discrete Wavelet Transform Background and Objective: Excessive electrical activity in the ...

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 ...

We present a method of data reduction using a wavelet transform in discriminant analysis when the number of variables is much greater than the number of observations. The method is illustrated with a ...