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矩阵值小波包的分解与重构算法 被引量:4

Decomposition and Reconstruction Algorithms of Orthonormal Matrix-Valued Wavelet Packets
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摘要 对矩阵值函数空间L2(R,cs×s)的正交分解进行了更深一层的研究,得到了矩阵值正交小波包的一些性质,给出了L2(R,cs×s)的一组新的正交基,弥补了有关文献的不足.最后,给出了利用矩阵值小波包来进行分解与重构的一般公式. In this paper, the orthonormal decomposition of L^2(R,c^(s×s)) is studied further. And we go through the properties of orthonormal matrix-valued wavelet packets. A new orthonormal basis for L^2(R,c^(s×s)) is given. Furthermore, the corresponding decomposition and reconstruction algorithms of orthonormal matrix-valued wavelet packets are presented.
出处 《武汉大学学报(理学版)》 CAS CSCD 北大核心 2005年第S2期15-18,共4页 Journal of Wuhan University:Natural Science Edition
关键词 矩阵值多分辨分析 矩阵值尺度函数 矩阵值小波包 分解与重构算法 matrix-valued multiresolution analysis matrix-valued scaling function matrix-valued wavelet packets decomposition and reconstruction algorithms.
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参考文献9

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