Abstract: Ultra-wideband (UWB) radio technique, due to its potential applications and great detection ability, is vulnerable to electromagnetic interference that cannot be ignored. With the ...
This paper develops a novel Haar wavelet collocation technique (HWCT) for solving a general class of fractional Volterra integro-differential equations (FVIDEs). The method employs operational ...
Abstract: Wavelet neural network (WNN), which learns an unknown nonlinear mapping from the data, has been widely used in signal processing, and time-series analysis. However, challenges in ...
ABSTRACT: In this paper, we explore the dynamic relationship between exchange rates, natural gas, and crude oil prices using the wavelet vine copula approach. The vine copula method offers the ...
To address the noise issue in fiber optic monitoring signals in frozen soil areas, this study employs wavelet denoising techniques to process the fiber optic signals. Since existing parameter choices ...
With the exception of Brown University, some other highly selective schools saw a record rise in the number of students who applied for admission. By Anemona Hartocollis and Stephanie Saul ...
Wavelet Transform is a powerful mathematical tool used in signal processing and analysis. It has gained widespread popularity due to its ability to provide a time-frequency representation of signals, ...
Wavelets, with their unique ability to capture both low and high-frequency information, have become a fundamental tool in various image processing tasks. In this article, we will delve into the world ...
Image is often easily polluted by noise in the process of image processing, so image de-noising is an important step in the field of image processing. Based on the wavelet threshold de-noising ...
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