期刊文献+

Z上框架小波包的构造方案及算法实现(英文) 被引量:1

Construction of Framelet Packets on Z and Algorithm Implementation
下载PDF
导出
摘要 为了进一步推动小波理论的应用,近些年来在离散数据环境中开始了对框架小波(也称为framelets)和框架小波包的研究工作.在l^2(Z)中构造J-级框架小波包的方法已经由鲁大勇和易华给出.然而,如何去使用这类小波包的细节却没有给出.为了进一步丰富由鲁和易提出的J-级框架小波包理论体系,该文给出了快速的分解和重构算法,运用该算法可以建立不同尺度层之间小波框架系数的关系.另外,为了方便该类框架小波包的应用,文中给出了l^2(Z)中一些实用框架小波包的具体数据.文中最后通过一个数值实验展示了该类框架小波包的完美重构性质. In order to facilitate the use of wavelets, the study on frame wavelets (also called framelets) and framelet packets in digital setting has been addressed in recent years. An approach to construct a class of J-stage framelet packets for l^2(Z) is given by Lu and Yi. However, the detailed results on how to use them are missing. To further improve the theoretical system of J-stage framelet packets for l^2(Z), by following the work of Lu and Yi, the fast decomposition and reconstruction algorithms are given in this paper, with which one can establish the relationship of coefficients between different stages. For the convenience of using, the detailed data of framelet packets for l^2(Z) when the number n of mother framelet ranges from 1 to 4 are constructed. Finally, a numerical experiment is given to illustrate the perfect reconstruction of framelet packets.
作者 鲁大勇 易华 LU Da-yong;YI Hua(School of Mathematics and Statistics,Henan University,Kaifeng,Henan 475001;Department of Mathematics,Jinggangshan University,Ji’an,Jiangxi 343009)
出处 《工程数学学报》 CSCD 北大核心 2019年第4期478-488,共11页 Chinese Journal of Engineering Mathematics
基金 The Natural Science Foundation of Jiangxi Province(20161BAB201017)
关键词 框架小波包 卷积 一级框架小波 序列空间 framelet packets convolution first-stage framelets sequence spaces
  • 相关文献

参考文献2

二级参考文献17

  • 1Christensen O. An Introduction to Frames and Riesz Bases [M]. Boston: Birkhauser, 2002.
  • 2Goh S S, Ron A, Shen Z W. Gabor and Wavelet Frames [M]. Hackensack: World Scientific, 2007.
  • 3Daubechies I, Han B, Ron A, et al. Framelets: MRA-based construction of wavelet frames [J]. Appl Comput Harmon Anal, 2004, 14 (1): 1-46.
  • 4Ron A, Shen Z. Affine system in L2(R^d): The analysis of analysis operator [J]. J Funct Anal, 1997, 148 (2): 408-447.
  • 5Benedetto J J, Treiber O M. Wavelet frames: multiresolution analysis and extension principles [C] // Wavelet Transforms and Time-Frequency Signal Analysis. Boston: Birkhauser, 2001:1-36.
  • 6Borup L, Gribonval R, Nielsen M. Bi-framelet systems with few vanishing moments characterize Besov spaces [J]. Applied and Computational Harmonic Analysis, 2004, 17: 3-28.
  • 7Borup L, Gribonval R, Nielsen M. Tight wavelet frames in Lebsgue and Sobolev spaces [J]. Journal of Function Spaces and Applications, 2004, 2: 227-252.
  • 8Han B, Shen Z W. Characterization of Sobolev spaces of arbitrary smoothness using nonstationary tight wavelet frames [J]. Israel Journal of Mathematics, 2009, 172: 371-398.
  • 9Littlewood J E, Paley R E A C. Theorems on Fourier series and power series I [J]. J London Math Soc, 1931, 6: 230-233.
  • 10Cheng M D, Deng D G, Long R L. Real Analysis[M]. 2nd ed. Beijing: Higher Education Press, 2008 (Ch).

共引文献7

同被引文献1

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部