Results 81 to 90 of about 653,157 (286)

Applications of Multiscale Hierarchical Decomposition to Blind Deconvolution

open access: yesMultiscale Modeling & Simulation
The blind image deconvolution is a challenging, highly ill-posed nonlinear inverse problem. We introduce a Multiscale Hierarchical Decomposition Method (MHDM) that is iteratively solving variational problems with adaptive data and regularization parameters, towards obtaining finer and finer details of the unknown kernel and image.
Tobias Wolf   +3 more
openaire   +4 more sources

Geometric multiscale decompositions of dynamic low-rank matrices [PDF]

open access: yesComputer Aided Geometric Design, 2013
SAM Research Report, 2012 ...
openaire   +2 more sources

Stimuli‐Responsive Hierarchical Structuring Controls Survival and Programs Hydrogelation of Supramolecular Metallofibers

open access: yesAdvanced Materials, EarlyView.
Aqueous Zn(II) Salphen metallofibers decorated with PNIPAM undergo reversible, multi‐stimuli‐responsive hierarchical bundling. This higher‐order structuring kinetically stabilizes the otherwise fragile assemblies against dilution, acidic hydrolysis, and transmetallation, enables selective sorting of responsive fibers, and programs hydrogelation at ...
Merlin R. Stühler   +5 more
wiley   +1 more source

An Empirical Analysis of Dynamic Multiscale Hedging using Wavelet Decomposition [PDF]

open access: yes
This paper investigates the hedging effectiveness of a dynamic moving window OLS hedging model, formed using wavelet decomposed time-series. The wavelet transform is applied to calculate the appropriate dynamic minimum-variance hedge ratio for various ...
Thomas Conlon, John Cotter
core  

Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries

open access: yesAdvanced Materials, EarlyView.
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi   +13 more
wiley   +1 more source

Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy

open access: yesShock and Vibration, 2020
Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and ...
Fuming Zhou   +3 more
doaj   +1 more source

A Multiscale Reduced Basis Method for the Schrödinger Equation With Multiscale and Random Potentials [PDF]

open access: yes, 2020
The semiclassical Schrödinger equation with multiscale and random potentials often appears when studying electron dynamics in heterogeneous quantum systems.
Chen, J, Ma, D, Zhang, Z
core   +1 more source

Flax Composites With Improved Interfacial Strength Through Microbially Induced Mineral Precipitation

open access: yesAdvanced Materials, EarlyView.
A bio‐inspired biomineralization strategy introduces an additional hierarchy to flax fiber composites. By controlling microbe‐mediated mineral particle deposition through tuned salt concentrations, stress transfer within the natural fiber composite is enhanced.
Deniz Sayinbas   +5 more
wiley   +1 more source

Review of Inorganic Separator Engineering for Next‐Generation Lithium–Sulfur Batteries: Compromise or Cornerstone?

open access: yesAdvanced Materials, EarlyView.
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin   +7 more
wiley   +1 more source

A novel pansharpening: when multiscale adaptive attention meets dual enhanced networks and low-rank tensor decomposition

open access: yesInternational Journal of Digital Earth
Deep learning (DL) has achieved advanced results in pansharpening remote sensing images. However, existing DL-based methods still have several drawbacks, such as incomplete feature extraction and insufficient information fusion.
Hengyou Wang   +4 more
doaj   +1 more source

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