Results 11 to 20 of about 640 (174)

Gabor shearlets [PDF]

open access: yesApplied and Computational Harmonic Analysis, 2015
In this paper, we introduce Gabor shearlets, a variant of shearlet systems, which are based on a different group representation than previous shearlet constructions: they combine elements from Gabor and wavelet frames in their construction. As a consequence, they can be implemented with standard filters from wavelet theory in combination with standard ...
Bodmann, Bernhard G.   +2 more
openaire   +4 more sources

$p$-adic Dual Shearlet Frames [PDF]

open access: yesSahand Communications in Mathematical Analysis, 2019
We introduced the continuous and discrete $p$-adic shearlet systems. We restrict ourselves to a brief description of the $p$-adic theory and shearlets in real case.
Mahdieh Fatemidokht   +1 more
doaj   +1 more source

A three-dimensional microseismic downhole noise suppression based on polarization filtering method in Shearlet transform

open access: yesFrontiers in Earth Science, 2023
Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by strong interference, making data processing and ...
Li Han, Dongyan Wang, Pengjun Yu
doaj   +1 more source

Use of the shearlet energy entropy and of the support vector machine classifier to process weak microseismic and desert seismic signals

open access: yesComptes Rendus. Géoscience, 2020
Low-amplitude signal detection is a key procedure in borehole microseismic and desert seismic exploration. Usually, signals are difficult to detect due to their low amplitude and noise contamination.
Li, Yue   +3 more
doaj   +1 more source

Clifford-Valued Shearlet Transforms on Cl(P,Q)-Algebras

open access: yesJournal of Mathematics, 2022
The shearlet transform is a promising and powerful time-frequency tool for analyzing nonstationary signals. In this article, we introduce a novel integral transform coined as the Clifford-valued shearlet transform on Cl(p,q) algebras which is designed to
Firdous A. Shah   +2 more
doaj   +1 more source

The Fusion of Multi-Focus Images Based on the Complex Shearlet Features-Motivated Generative Adversarial Network

open access: yesJournal of Advanced Transportation, 2021
The traditional methods for multi-focus image fusion, such as the typical multi-scale geometric analysis theory-based methods, are usually restricted by sparse representation ability and the transferring efficiency of the fusion rules for the captured ...
Lei Wang   +5 more
doaj   +1 more source

A Numerical Formulation for N-Dimensional Wave Equations Using Shearlets [PDF]

open access: yesControl and Optimization in Applied Mathematics, 2020
A shearlet frame approach is used to solve $n$-dimensional wave equations numerically. By the presented procedure, the shearlet coefficients are obtained via separate time-independent partial differential equations.
Rama Amiri   +2 more
doaj   +1 more source

Shearlet Smoothness Spaces [PDF]

open access: yesJournal of Fourier Analysis and Applications, 2013
It is well known that spaces of Besov-Sobolev type can be characterized by building blocks such as atoms, molecules, wavelets where the smoothness is reflected by the related coefficients belonging to suitable sequence spaces. The paper contributes to this topic replacing the classical building blocks by more recent and more flexible ones, in ...
Labate, Demetrio   +2 more
openaire   +2 more sources

Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain [PDF]

open access: yesEAI Endorsed Transactions on Context-aware Systems and Applications, 2019
Image retrieval system is an urgent issue for in medicine. In the past, traditional image retrieval system based solely on the label of images and gave limited results.
Vo Tuyet   +4 more
doaj   +1 more source

FMDNet: Spatial-frequency feature routing for low-dose CT denoising. [PDF]

open access: yesJ Appl Clin Med Phys
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
Yao Y   +6 more
europepmc   +2 more sources

Home - About - Disclaimer - Privacy