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Related papers: New Tight Wavelet Frame Constructions Sharing Resp…

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Generalizing wavelets by adding desired redundancy and flexibility,framelets are of interest and importance in many applications such as image processing and numerical algorithms. Several key properties of framelets are high vanishing…

Functional Analysis · Mathematics 2021-12-01 Bin Han , Ran Lu

With the widespread application of composite structures in the fields of building and bridge constructions, thin-covered composite dowels are increasingly adopted in various engineering scenarios. This paper presents a design methodology…

Applied Physics · Physics 2025-02-27 Zhihua Xiong , Jiaqi Li , Xulin Mou , Tiankuo Wang , Abedulgader Baktheer , Markus Feldmann

Recent results from real algebraic geometry and the theory of polynomial optimization are related in a new framework to the existence question of multivariate tight wavelet frames whose generators have at least one vanishing moment. Namely,…

Functional Analysis · Mathematics 2012-07-10 Maria Charina , Mihai Putinar , Claus Scheiderer , Joachim Stoeckler

To derive the convergence field from the gravitational shear (gamma) of the background galaxy images, the classical methods require a convolution of the shear to be performed over the entire sky, usually expressed thanks to the Fast Fourier…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-03 E. Deriaz , J. -L. Starck , S. Pires

We propose a class of spherical wavelet bases for the analysis of geophysical models and forthe tomographic inversion of global seismic data. Its multiresolution character allows for modeling with an effective spatial resolution that varies…

This paper presents an efficient strategy for constructing Reduced-Order Model (ROM) bases using Taylor polynomial expansions and Fr{\'e}chet derivatives with respect to model parameters. The proposed approach enables the construction of…

Numerical Analysis · Mathematics 2025-05-05 Julien Besset , Hélène Barucq , Rabia Djellouli , Stefano Frambati

The flux reconstruction (FR) approach offers a flexible framework for describing a range of high-order numerical schemes; including nodal discontinuous Galerkin and spectral difference schemes. This is accomplished through the use of…

Numerical Analysis · Mathematics 2020-06-25 Will Trojak , Freddie Witherden

We construct a Continuous Wavelet Transform (CWT) on the torus $\mathbb T^2$ following a group-theoretical approach based on the conformal group $SO(2,2)$. The Euclidean limit reproduces wavelets on the plane $\mathbb R^2$ with two…

Mathematical Physics · Physics 2014-11-04 Manuel Calixto , Julio Guerrero , Daniela Rosca

Spline wavelet tight frames of Ron-Shen have been used widely in frame based image analysis and restorations. However, except for the tight frame property and the approximation order of the truncated series, there are few other properties…

Functional Analysis · Mathematics 2012-01-13 Zuowei Shen , Zhiqiang Xu

We establish system of equations for single function normalized tight frame wavelets with compact supports associated with $2\times 2$ expansive integral matrices in $L^2(\R^2)$.

Functional Analysis · Mathematics 2016-09-14 Xingde Dai

Continuous wavelet design is the endeavor to construct mother wavelets with desirable properties for the continuous wavelet transform (CWT). One class of methods for choosing a mother wavelet involves minimizing a functional, called the…

Functional Analysis · Mathematics 2023-07-20 Simon Halvdansson , Jan-Fredrik Olsen , Nir Sochen , Ron Levie

In the present work the well known Farey map is exploited to consruct a new mother wavelet. Properties such as admissibility, moments, 2-scale relation and reconstruction rule have been established. The constructed mother may be a good…

Functional Analysis · Mathematics 2020-06-09 Sabrine Arfaoui , Riadh Chteoui , Anouar Ben Mabrouk

The theory of (tight) wavelet frames has been extensively studied in the past twenty years and they are currently widely used for image restoration and other image processing and analysis problems. The success of wavelet frame based models,…

Computer Vision and Pattern Recognition · Computer Science 2011-10-31 Yong Zhang , Bin Dong , Zhaosong Lu

Multiresolution Matrix Factorization (MMF) is unusual amongst fast matrix factorization algorithms in that it does not make a low rank assumption. This makes MMF especially well suited to modeling certain types of graphs with complex…

Machine Learning · Computer Science 2021-11-04 Truong Son Hy , Risi Kondor

The Wave Based Method (WBM) is a Trefftz method for the simulation of wave problems in vibroacoustics. Like other Trefftz methods, it employs a non-standard discretisation basis consisting of solutions of the partial differential equation…

Numerical Analysis · Mathematics 2018-02-06 Daan Huybrechs , Anda-Elena Olteanu

The multiresolution analysis (MRA) associated with the Special affine Fourier transform (SAFT) provides a structured approach for generating orthonormal bases in \( L^2(\mathbb R) \), making it a powerful tool for advanced signal analysis.…

Functional Analysis · Mathematics 2026-01-12 Vikash K. Sahu , Waseem Z. Lone , Amit K. Verma

Constructing tight wavelet filter banks with prescribed directions is challenging. This paper presents a systematic method for designing a tight wavelet filter bank, given any prescribed directions. There are two types of wavelet filters in…

Numerical Analysis · Mathematics 2022-02-22 Youngmi Hur

A multivariate biorthogonal wavelet system can be obtained from a pair of multivariate biorthogonal refinement masks in Multiresolution Analysis setup. Some multivariate refinement masks may be decomposed into lower dimensional refinement…

Numerical Analysis · Mathematics 2014-01-21 Youngmi Hur , Fang Zheng

Like the continous shearlet transform and their relatives, discrete transformations based on the interplay between several filterbanks with anisotropic dilations provide a high potential to recover directed features in two and more…

Numerical Analysis · Mathematics 2018-03-20 Mariantonia Cotronei , Milvia Rossini , Tomas Sauer , Elena Volontè

Orthogonal time frequency space (OTFS) modulation is a robust candidate waveform for future wireless systems, particularly in high-mobility scenarios, as it effectively mitigates the impact of rapidly time-varying channels by mapping…

Signal Processing · Electrical Eng. & Systems 2026-01-12 Meiwen Men , Tao Zhou , Kaifeng Bao , Zhiyang Guo , Yongning Qi , Liu Liu , Bo Ai