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一类伸缩因子为4的d维矩阵值小波

The Construction of Compactly Supported d-dimensional Matrix-valued Wavelets
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摘要 小波变换在图像处理中是一项强有力的工具。根据信号多分量的特性,在构造向量值小波和矩阵值小波的应用过程中具有灵活性。文章在L2(Rd,Cn×n)空间中引入对应于4尺度矩阵值尺度函数的矩阵值多分辨分析和矩阵值正交小波的概念,给出了d维矩阵值正交小波存在的充要条件,提供了一类紧支撑d维矩阵值正交小波的构造算法。 Wavelet transform is a powerful tool in image processing.According to multicomponent signals,the construction of vector-valued wavelets and matrix valued wavelets has flexibility in the application process.In this paper,we introduce the notion of matrix-valued orthogonal wavelets and matrix-valued multiresolution analysis with four-scale matrix-valued scaling functions of the space L2(Rd,Cn×n).A necessary and sufficient condition for the d-dimensional Matrix-valued orthogonal wavelets is given.The construction algorithm of a class of compactly supported multivariate d-dimensional Matrix-valued orthogonal wavelets is also given.
作者 马静 MA Jing(School of Mathematical Science,Xinjiang Normal University,Urumqi,Xinjiang,830017,China)
出处 《新疆师范大学学报(自然科学版)》 2019年第1期27-32,共6页 Journal of Xinjiang Normal University(Natural Sciences Edition)
关键词 矩阵值多分辨率分析 矩阵值尺度函数 矩阵值正交小波 细分方程 Matrix-valued multiresolution analysis Matrix-valued scaling function Matrix-valued Orthogonal wavelets Refinement equation
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