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This review paper is intended to give a useful guide for those who want to apply discrete wavelets in their practice. The notion of wavelets and their use in practical computing and various applications are briefly described, but rigorous…

高能物理 - 唯象学 · 物理学 2025-10-20 I. M. Dremin , O. V. Ivanov , V. A. Nechitailo

Continuing our recent work we study polynomial masks of multivariate tight wavelet frames from two additional and complementary points of view: convexity and system theory. We consider such polynomial masks that are derived by means of the…

泛函分析 · 数学 2014-03-11 Maria Charina , Mihai Putinar , Claus Scheiderer , Joachim Stoeckler

This paper focuses on real-time all-frequency image-based rendering using an innovative solution for run-time computation of light transport. The approach is based on new results derived for non-linear phase shifting in the Haar wavelet…

计算机视觉与模式识别 · 计算机科学 2017-05-23 Mais Alnasser , Hassan Foroosh

To investigate neural network parameters, it is easier to study the distribution of parameters than to study the parameters in each neuron. The ridgelet transform is a pseudo-inverse operator that maps a given function $f$ to the parameter…

机器学习 · 计算机科学 2024-04-22 Sho Sonoda , Isao Ishikawa , Masahiro Ikeda

We present a novel framework for discrete multiresolution analysis of graph signals. The main analytical tool is the samplet transform, originally defined in the Euclidean framework as a discrete wavelet-like construction, tailored to the…

信号处理 · 电气工程与系统科学 2025-07-28 Giacomo Elefante , Gianluca Giacchi , Michael Multerer , Jacopo Quizi

Some general remarks about integral transform approaches to response functions are made. Their advantage for calculating cross sections at energies in the continuum is stressed. In particular we discuss the class of kernels that allow…

核理论 · 物理学 2017-03-08 Giuseppina Orlandini , Francesco Turro

This is the first paper in a sequence of studies in which we introduce a new type of neural networks (NNs) -- wavelet-based neural networks (WBNNs) -- and study their properties and potential for applications. We begin this study with a…

机器学习 · 计算机科学 2022-11-02 Lubomir T. Dechevsky , Kristoffer M. Tangrand

Based on hierarchical partitions, we provide the construction of Haar-type tight framelets on any compact set $K\subseteq \mathbb{R}^d$. In particular, on the unit block $[0,1]^d$, such tight framelets can be built to be with adaptivity and…

泛函分析 · 数学 2020-08-28 Yuchen Xiao , Xiaosheng Zhuang

The wavelet tree (Grossi et al. [SODA, 2003]) and wavelet matrix (Claude et al. [Inf. Syst., 2015]) are compact data structures with many applications such as text indexing or computational geometry. By continuing the recent research of…

数据结构与算法 · 计算机科学 2020-02-20 Patrick Dinklage

Graph polynomials encode fundamental combinatorial invariants of graphs. Their computation is investigated using tree and path decomposition frameworks, with formal definitions of treewidth, k-trees, and pathwidth establishing the…

离散数学 · 计算机科学 2025-09-29 Mehul Bafna , Shaghik Amirian

Deep learning models extract, before a final classification layer, features or patterns which are key for their unprecedented advantageous performance. However, the process of complex nonlinear feature extraction is not well understood, a…

计算机视觉与模式识别 · 计算机科学 2020-06-18 Roozbeh Yousefzadeh , Furong Huang

We associate root polytopes to directed graphs and study them by using ribbon structures. Most attention is paid to what we call the semi-balanced case, i.e., when each cycle has the same number of edges pointing in the two directions.…

组合数学 · 数学 2024-08-16 Tamás Kálmán , Lilla Tóthmérész

A new construction of a directional continuous wavelet analysis on the sphere is derived herein. We adopt the harmonic scaling idea for the spherical dilation operator recently proposed by Sanz et al. but extend the analysis to a more…

天体物理学 · 物理学 2011-10-28 J. D. McEwen , M. P. Hobson , A. N. Lasenby

We develop unbalanced Haar (UH) wavelet tree ensembles for regression on triangulable manifolds. Given data sampled on a triangulated manifold, we construct UH wavelet trees whose atoms are supported on geodesic triangles and form an…

统计方法学 · 统计学 2026-01-29 Hengrui Luo , Akira Horiguchi , Li Ma

Shearlet theory has become a central tool in analyzing and representing 2D data with anisotropic features. Shearlet systems are systems of functions generated by one single generator with parabolic scaling, shearing, and translation…

泛函分析 · 数学 2010-11-23 Gitta Kutyniok , Jakob Lemvig , Wang-Q Lim

The wavelet transform, a family of orthonormal bases, is introduced as a technique for performing multiresolution analysis in statistical mechanics. The wavelet transform is a hierarchical technique designed to separate data sets into sets…

化学物理 · 物理学 2009-11-07 Ahmed E. Ismail , Gregory C. Rutledge , George Stephanopoulos

Texture is the term used to characterize the surface of a given object or phenomenon and is an important feature used in image processing and pattern recognition. Our aim is to compare various Texture analyzing methods and compare the…

计算机视觉与模式识别 · 计算机科学 2012-10-30 Pooja Maknikar

We address the problem of ordering trees with the same degree sequence by their spectral radii. To achieve that, we consider 2-switch transformations which preserve the degree sequence and establish when the index decreases. Our main…

组合数学 · 数学 2020-06-25 Elismar R. Oliveira , Victor N. Schvöllner , Vilmar Trevisan

Horizontal gene transfer (HGT) is an important process in bacterial evolution. Current phylogeny-based approaches to capture it cannot however appropriately account for the fact that HGT can occur between bacteria living in different…

种群与进化 · 定量生物学 2025-03-31 Katharina T. Huber , Darren Overman

We introduce a new concept of the so-called {\it composite wavelet transforms}. These transforms are generated by two components, namely, a kernel function and a wavelet function (or a measure). The composite wavelet transforms and the…

泛函分析 · 数学 2007-11-12 Ilham A. Aliev , Boris Rubin , Sinem Sezer , Simten B. Uyhan