An application of the ability of the Haar wavelet operational matrix to perform the numerical inverse Laplace transform as combined with the intrinsically convenient Haar wavelet transform of any time-domain signal is presented in this paper.
Georgios G. Roumeliotis +2 more
doaj +1 more source
Haar Wavelet Method for Series Expansion of Fractional Wiener Integral
Introduction The stochastic calculus plays an important role in the study of stochastic integral equations and stochastic differential equations. The fractional Brownian motion has many applications in different branches of sciences such as economics ...
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doaj
An Efficient Approach for Mixed Neutral Delay Differential Equations
In this paper, neutral delay differential equations, which contain constant and proportional terms, termed mixed neutral delay differential equations, are solved numerically.
Rupal Aggarwal +3 more
doaj +1 more source
Solving Finite Length Beam Equation by the Haar Wavelet Method
beam is assumed partitioned into several finite elements and the deflection of the beam is required to be a positive quantity along the whole beam so that the related fundamental fourth- order ordinary differential equation can continuously holds good. In this paper, we apply Haar wavelet methods to solve finite-length beam differential equations with ...
openaire +1 more source
Haar wavelet method for vibration analysis of nanobeams
M. Kirs +5 more
openaire +1 more source
Efficient real-world image denoising using multi-scale gaussian pyramids. [PDF]
Rani A, Bhogal RK.
europepmc +1 more source
Wavelet-convolutional neural network for fault prediction in coal mine seismic data. [PDF]
Zou G, Han C, Yeh HG, Peng S.
europepmc +1 more source
Multi-family wavelet-based feature engineering method for short-term time series forecasting. [PDF]
Yemets K, Izonin I, Mitoulis SA.
europepmc +1 more source
70 km long-range Raman distributed optical fibre sensing through enhanced anti-distortion coding and waveform reconstruction. [PDF]
Zhang F, Li J, Li L, Cao K, Zhang M.
europepmc +1 more source
SENet-SVWF: a spectral vegetation indices and wavelet features fusion method using squeeze and excitation network for predicting the SPAD value of maize leaves. [PDF]
Yan B +5 more
europepmc +1 more source

