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Haar wavelet collocation method for the numerical solution of singular initial value problems
Ain Shams Engineering Journal, 2016 In this paper, numerical solutions of singular initial value problems are obtained by the Haar wavelet collocation method (HWCM). The HWCM is a numerical method for solving integral equations, ordinary and partial differential equations.
S.C. Shiralashetti +2 more
doaj +1 more source
In-Band Disparity Compensation for Multiview Image Compression and View Synthesis [PDF]
, 2010 This paper presents a novel framework to achieve scalable multiview image compression and view synthesis. The open-loop wavelet-lifting scheme for geometric filtering has been exploited to achieve signal-to-noise ratio scalability and view-type ...
Anantrasirichai, N +3 more
core +2 more sources
HAAR WAVELET METHOD FOR SOLVING STIFF DIFFERENTIAL EQUATIONS
Mathematical Modelling and Analysis, 2009 Application of the Haar wavelet approach for solving stiff differential equations is discussed. Solution of singular perturbation problems is also considered. Efficiency of the recommended method is demonstrated by means of four numerical examples, mostly taken from well‐known textbooks.
openaire +4 more sources
Discrete differential operators in multidimensional Haar wavelet spaces
International Journal of Mathematics and Mathematical Sciences, 2004 We consider a class of discrete differential operators acting on multidimensional Haar wavelet basis with the aim of finding wavelet approximate solutions of partial differential problems.
Carlo Cattani, Luis M. Sánchez Ruiz
doaj +1 more source
Semi-Supervised Dim and Small Infrared Ship Detection Network Based on Haar Wavelet
IEEE Access, 2021 Traditional deep learning detection network has poor effect on the detection of infrared dim and small targets on the sea in the case of interference or bad weather.
Zizhuang Song +4 more
doaj +1 more source
Assessment of Haar Wavelet-Quasilinearization Technique in Heat Convection-Radiation Equations
Applied Computational Intelligence and Soft Computing, 2014 We showed that solutions by the Haar wavelet-quasilinearization technique for the two problems, namely, (i) temperature distribution equation in lumped system of combined convection-radiation in a slab made of materials with variable thermal conductivity
Umer Saeed, Mujeeb ur Rehman
doaj +1 more source
Fast Poisson Noise Removal by Biorthogonal Haar Domain Hypothesis Testing
, 2008 Methods based on hypothesis tests (HTs) in the Haar domain are widely used to denoise Poisson count data. Facing large datasets or real-time applications, Haar-based denoisers have to use the decimated transform to meet limited-memory or computation-time
Digel, Seth W. +3 more
core +4 more sources
Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
Journal of Forecasting, EarlyView.ABSTRACT Forecasting realized volatility (RV) has been widely studied, with numerous techniques developed to enhance predictive accuracy. Among these techniques, the use of RV decompositions based on intraday asset returns has been applied. However, the use of a frequency‐based decomposition, which provides unique insights into the dynamics of RV ...
Adam Clements, Ajith Perera
wiley +1 more source
Algorithms, 2020 In this paper, we present a robust algorithm to solve numerically a family of two-dimensional fractional integro differential equations. The Haar wavelet method is upgraded to include in its construction the Laplace transform step.
Amer Darweesh +2 more
doaj +1 more source
Haar wavelets as a tool for the statistical characterization of variability
, 2011 In the field of gamma-ray astronomy, irregular and noisy datasets make difficult the characterization of light-curve features in terms of statistical significance while properly accounting for trial factors associated with the search for variability at ...
LeBohec, Stephan +2 more
core +1 more source