We present a simulation-based cosmological analysis using a combination of Gaussian and nonGaussian statistics of the weak lensing mass (convergence) maps from the first three years of the Dark Energy ...

Energy-efficient spikformer has been proposed by integrating the biologically plausible spiking neural network (SNN) and artificial transformer, whereby the spiking self-attention (SSA) is used to ...

Abstract: The wavelet remodel is a popular sign-processing technique used for feature extraction in fault prognosis in equipment. In this paper, we present an outline of the wavelet transform ...

This repository contains the code and resources for removing noise from audio samples using Wavelet Transform. The project utilizes the Wavelet Transform to effectively denoise audio signals, ...

Nitrogen nutrition index (NNI) is a well-known tool that can diagnose crop nitrogen (N) status accurately and has shown potential for estimating crop yield and quality, plant N uptake and partition, ...

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 ...

Abstract: Aiming Considering the maturity of wavelet transform in the field of harmonic processing, aiming at the demand of interconnection of different new energy power generation equipment in the ...

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes ...