Results 51 to 60 of about 6,448 (221)

Multiresolution Analysis and Haar Wavelets on the Laguerre Hypergroup [PDF]

open access: yesMathematical Problems in Engineering, 2009
Let ℍn be the Heisenberg group. The fundamental manifold of the radial function space for ℍn can be denoted by [0, +∞) × ℝ, which is just the Laguerre hypergroup. In this paper the multiresolution analysis on the Laguerre hypergroup 𝕂 = [0, +∞) × ℝ is defined. Moreover the properties of Haar wavelet bases for are investigated.
Xie, Peizhu, He, Jianxun
openaire   +1 more source

Wavelet‐Based Hurst Exponent Estimation

open access: yesWIREs Computational Statistics, Volume 18, Issue 3, September 2026.
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa   +2 more
wiley   +1 more source

Haar wavelet fractional derivative [PDF]

open access: yesProceedings of the Estonian Academy of Sciences, 2022
In this paper, the fundamental properties of fractional calculus are discussed with the aim of extending the definition of fractional operators by using wavelets. The Haar wavelet fractional operator is defined, in a more general form, independently on the kernel of the fractional integral.
openaire   +3 more sources

Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach

open access: yesJournal of Forecasting, Volume 45, Issue 4, Page 1652-1664, July 2026.
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

Haar Wavelet Collocation Method for Thermal Analysis of Porous Fin with Temperature-dependent Thermal Conductivity and Internal Heat Generation [PDF]

open access: yesJournal of Applied and Computational Mechanics, 2017
In this study, the thermal performance analysis of porous fin with temperature-dependent thermal conductivity and internal heat generation is carried out using Haar wavelet collocation method.
George OGUNTALA, Raed Abd-Alhameed
doaj   +1 more source

Employee Perceptions of Coaching Relationship Quality: A Change‐Over‐Time Study of Job Satisfaction and Turnover Intentions

open access: yesAsia Pacific Journal of Human Resources, Volume 64, Issue 3, July 2026.
ABSTRACT To remain competitive, organisations increasingly rely on human resources (HR) to operate as a strategic business partner responsible for developing employee capability. Although prior research highlights the centrality of supervisor–employee relationships for effective coaching, little is known about whether employees' perceptions of the ...
Jesse William Mowat   +2 more
wiley   +1 more source

Multi‐LiDAR Observations of Coastal Atmospheric Duct Evolution in Hampton Roads

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract To better understand the influence of atmospheric ducts on radio frequency (RF) operations, continuous high‐resolution observations of temperature and water vapor are essential. Hampton University's (HU) 48‐inch Raman‐Mie LiDAR provides such measurements through rotational and vibrational Raman techniques, enabling detailed monitoring of ...
Jia Su   +4 more
wiley   +1 more source

Haar wavelet filters.

open access: yes, 2016
Haar wavelet filters.
Yang Wang (5921)   +3 more
core   +1 more source

FMDNet: Spatial‐frequency feature routing for low‐dose CT denoising

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Abstract Background Low‐dose computed tomography (LDCT) is widely used to reduce radiation exposure, but the reduced photon budget amplifies quantum noise and can introduce structured artifacts that obscure subtle boundaries and textures. Many deep learning denoisers process features in a single stream, which may encourage either over‐smoothing of weak
Yujie Yao   +6 more
wiley   +1 more source

A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection

open access: yesAdvanced Materials, Volume 38, Issue 32, 8 June 2026.
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing   +10 more
wiley   +1 more source

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