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The Traits of Orthogonal Nonseparable Binary-Variable Wavelet Packs in Two-Dimensional Function Space

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Book cover Advanced Research on Computer Education, Simulation and Modeling (CESM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 175))

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Abstract

In this paper, the concept of orthogonal non-tensor bivariate wavelet packs, which is the generalization of orthogonal univariate wavelet packs, is pro -posed by virtue of analogy method and iteration method. Their orthogonality property is investigated by using time-frequency analysis method and variable se-paration approach. Three orthogonality formulas concerning these wavelet packs are obtained. Moreover, it is shown how to draw new orthonormal bases of space L 2(R 4) from these wavelet wraps. A procedure for designing a class of orthogonal vector-valued finitely supported wavelet functions is proposed by virtue of filter bank theory and matrix theory.

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References

  1. Telesca, L., et al.: Multiresolution wavelet analysis of earthquakes. Chaos, Solitons & Fractals 22(3), 741–748 (2004)

    Article  MATH  Google Scholar 

  2. Iovane, G., Giordano, P.: Wavelet and multiresolution analysis: Nature of ε  ∞  Cantorian space-time. Chaos, Solitons & Fractals 32(4), 896–910 (2007)

    Article  Google Scholar 

  3. Zhang, N., Wu, X.: Lossless Compression of Color Mosaic Images. IEEE Trans. Image Processing 15(16), 1379–1388 (2006)

    Article  Google Scholar 

  4. Chen, Q., et al.: A study on compactly supported orthogonal vector-valued wavelets and wavelet packets. Chaos, Solitons & Fractals 31(4), 1024–1034 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  5. Shen, Z.: Nontensor product wavelet packets in L2(Rs). SIAM Math. Anal. 26(4), 1061–1074 (1995)

    Article  MATH  Google Scholar 

  6. Chen, Q., Qu, X.: Characteristics of a class of vector-valued nonseparable higher-dimensional wavelet packet bases. Chaos, Solitons & Fractals 41(4), 1676–1683 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  7. Chen, Q., Qu, X.: Characteristics of a class of vector-valued nonseparable higher-dimensional wavelet packet bases. Chaos, Solitons & Fractals 41(4), 1676–1683 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  8. Chen, Q., Huo, A.: The research of a class of biorthogonal compactly supported vector-valued wavelets. Chaos, Solitons & Fractals 41(2), 951–961 (2009)

    Article  MathSciNet  MATH  Google Scholar 

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Wang, G., Wei, R. (2011). The Traits of Orthogonal Nonseparable Binary-Variable Wavelet Packs in Two-Dimensional Function Space. In: Lin, S., Huang, X. (eds) Advanced Research on Computer Education, Simulation and Modeling. CESM 2011. Communications in Computer and Information Science, vol 175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21783-8_10

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  • DOI: https://doi.org/10.1007/978-3-642-21783-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21782-1

  • Online ISBN: 978-3-642-21783-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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