Results 41 to 50 of about 2,323 (178)
Comments on "phase-shifting for nonseparable 2-D haar wavelets"
, 2009 In their recent paper, Alnasser and Foroosh derive a wavelet-domain (in-band) method for phase-shifting of 2-D "nonseparable" Haar transform coefficients. Their approach is parametrical to the (a priori known) image translation.
Andreopoulos, Y
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Statistics in Medicine, Volume 45, Issue 10-12, May 2026.ABSTRACT Microbiome compositional data are often high‐dimensional, sparse, and exhibit pervasive cross‐sample heterogeneity. We introduce the “logistic‐tree normal” (LTN) model, a generative model that allows flexible covariance among the microbiome taxa, enables scalable computation, and effectively captures other key characteristics of microbiome ...
Zhuoqun Wang, Jialiang Mao, Li Ma
wiley +1 more source
Using wavelets for time series forecasting: Does it pay off? [PDF]
By means of wavelet transform a time series can be decomposed into a time dependent sum of frequency components. As a result we are able to capture seasonalities with time-varying period and intensity, which nourishes the belief that incorporating the ...
Schlüter, Stephan, Deuschle, Carola
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Efficient Gaussian Simulations of Fermionic Open Quantum Systems
Advanced Quantum Technologies, Volume 9, Issue 4, April 2026.Building upon Bravyi's fundamental theoretical framework, efficient classical simulation methods are reviewed and further developed for general fermionic Gaussian processes. The emphasis remains on a unified approach applicable to generic fermionic Gaussian operations.
Yinan Fang +3 more
wiley +1 more source
Sparse orthogonal matrices and the Haar wavelet
Discrete Applied Mathematics, 2000 The authors discuss the sparsity of orthogonal matrices which have a column of nonzero entries. It is shown that the minimun number of nonzero entries in such a matrix of size \(m\times m\) is \[ (\lfloor m\rfloor +3)m-2^{\lfloor m\rfloor+1}. \] This is optimal, as the paper characterizes the matrices which achieve this number.
Gi-Sang Cheon, Bryan L. Shader
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The International Journal of Medical Robotics and Computer Assisted Surgery, Volume 22, Issue 2, April 2026.ABSTRACT Background Early and accurate pancreatic cancer (PC) detection remains a major clinical challenge. Methods We introduce a novel hybrid deep learning framework for automated classification of CT images, which requires fewer computational resources while achieving high diagnostic performance. We integrated a lightweight MobileNetV3Small backbone
Vishesh Tanwar +3 more
wiley +1 more source
Wavelet Multiresolution Analysis of High-Frequency FX Rates, Summer 1997 [PDF]
FX pricing processes are nonstationary and their frequency characteristics are time-dependent. Most do not conform to geometric Brownian motion, since they exhibit a scaling law with a Hurst exponent between zero and 0.5 and fractal dimensions between 1 ...
Jeyanthi Karuppiah, Cornelis A. Los
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Wavelets obtained by continuous deformations of the Haar wavelet
Revista Matemática Iberoamericana, 1996 One might obtain the impression, from the wavelet literature, that the class of orthogonal wavelets is divided into subclasses, like compactly supported ones on one side, band-limited ones on the other side. The main purpose of this work is to show that, in fact, the class of low-pass filters associated with "reasonable" (in the localization sense, not
Bonami, Aline +2 more
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Journal of the Royal Society of New Zealand, Volume 56, Issue 2, April 2026.Aotearoa New Zealand has one of the highest rates of anxiety and depression globally, with Māori and Pacific groups carrying the greatest burden. We need to better understand the driving factors to improve the availability and flexibility of our treatment pathways.
Olivia K. Harrison +24 more
wiley +1 more source
Haar wavelets method for solving class of coupled systems of linear fractional Fredholm integro-differential equations. [PDF]
Heliyon, 2023 Darweesh A, Al-Khaled K, Al-Yaqeen OA.
europepmc +1 more source