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滤波器长度与消失矩对双正交小波构造的影响 被引量:2

Effects of filter length and vanishing moment on the construction of biorthonormal wavelets
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摘要 通过进一步研究如何构造有一定滤波器长度和消失矩阶数的小波,在构造具有消失矩的小波时发现,偶数长对称小波的消失矩仅需其偶数阶导数满足要求,奇数长时仅需奇数阶导数满足要求,这样可以节约一半的计算量。另外根据奇数长对称的例子研究了一定偶数长度的双正交对称小波能够具有多少阶消失矩,以及该小波具有怎么样的形式。 Several good quality biorthonormal bases of compactly supported symmetrical wavelets with high-ordered vanishing moment had been constructed before. However, further study needs to be done regarding how filter length and vanishing moment influence the construction of these wavelets. Our study leads us to such a finding that in constructing even length and odd length symmetrical wavelets with vanishing moment respectively only the evenorder and odd-order derivatives are needed respectively. The quantity of computation can thus be cut down to a half. We have also studied a few examples and obtained results of the format of these wavelets as well as the number of order of vanishing moment.
作者 梁茜 丁宣浩
出处 《桂林电子科技大学学报》 2007年第1期60-63,共4页 Journal of Guilin University of Electronic Technology
基金 国家自然科学基金(10361003) 广西自然科学基金(0542046) 广西研究生教育创新计划项目(2006105950701M03)
关键词 双正交小波 消失矩 滤波器长度 biorthonormal wavelets vanishing moment filter length
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参考文献4

  • 1黄达人,刘九芬,李峰.滤波长度为5的双正交多尺度分析的构造[J].计算数学,2002,24(2):177-178. 被引量:5
  • 2MALLAT S. Multiresoution approximations and wavelet orthonomal basis of L^2(R) [J]. Trans. Amer. Soc , 1989,(315):69-87.
  • 3LEMARIE P G. Prohection operators in Multiresolution Analysis[J]. Proc. Sym. In Appl. Math, 1993, (47): 59- 76.
  • 4COHEN A, DAUBECHIES I. Biorthogonal bases of compactly supported wavelets [J]. Communication on Pure and Applied Math[J]. 1992, (45) :485- 560.

二级参考文献12

  • 1[1]Daubechies I. Orthonomal Bases of Compactly Supported Wavelets, Comm. Pure Appl.Math., 41 (1998), 909-996.
  • 2[2]Daubechies I. Ten Lectures on Wavelets. Society for Industrial and Applied Mathemathics,Philadelphia, 1992.
  • 3[3]Mallat S. Multiresoution Approximations and Wavelet Orthonomal Basis of L2 (R), Trans.Amer. Soc., 315 (1989), 69-87.
  • 4[4]Lemarié P G. Sur I,existence des Analyses Multiresolutions en Theorie des Ondeletter,Rev. Mat. Iberoamericana, 8 (1992), 457-474.
  • 5[5]Lemarié P G. Projection Operators in Multiresolution Analysis, Proc. Sym. in Appl.Math., 47 (1993), 59-76.
  • 6[6]Ruilin Long. High Dimensional Wavelet Analysis, World Library Press, 1995.
  • 7[7]Meyer Y. Ondeletters ét otétratewrs, I, II, Hermamm, Paris, 1990.
  • 8[8]Jia R Q and Shen Z W. Multiresolution and Wavelets, Proceedings of the Edinburgh Mathematical Society, 37 (1994), 271-300.
  • 9[9]Gongqing Zhang. Lecture of Functional Analysis, Volume 1, Beijing University Press,1986.
  • 10[10]Lihua Yang and Feng Li. Construction of MRAs with Length 3. Lecture Notes in Scientific Computation, International Culture Publishing Inc. 2000.

共引文献4

同被引文献7

  • 1李琳,蒋华伟,刘啸岭.基于小波变换的数字图像压缩编码方法研究[J].微计算机信息,2007(18):287-288. 被引量:7
  • 2磨国瑞,彭进业,磨少清,谢明华.基于反对称双正交小波分解系数的模极大值的信号快速重构[J].电子与信息学报,2007,29(8):1860-1863. 被引量:2
  • 3Shapiro J. Embedded image coding using zerotrees of wavelet coefficients[J]. IEEE Trans. Signal Processing, 1993, 41(12):3445-3462.
  • 4VILLASENOR J, BELZER B,LIAO J. Wavelet filter evaluation for image eompression[J]. IEEE Transactions on Image Processing, 1995, 4(8);1053-1060.
  • 5DAUBECHIES I. Ten Lectures on Wavelets[G]//CBMS-NSF Regional Conference Series in Applied Mathematics. Philadephia: SIAM, 1992.
  • 6PAN H, et al. A fast and low memory image coding algorithm based on lifting wavelet transform and modified SPIHT[J]. Signal Process Image Commun. , 2008, 1(4):1-16.
  • 7ANTONINI, M, BARLAUD M, MATHIEU P, DAUBECHIES L Image coding using wavelet transform[J]. IEEE Trans. Image Processing, 1992, 1(2) :205-220.

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