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Wavelet Frames: Multiresolution Analysis and Extension Principles

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Wavelet Transforms and Time-Frequency Signal Analysis

Part of the book series: Applied and Numerical Harmonic Analysis ((ANHA))

Abstract

After reviewing the basic ideas of frame theory from a functional analysis point of view, we discuss two approaches for the construction of (affine) wavelet frames. The theory of Frame Multiresolution Analysis as introduced in [1] is presented in a streamlined form, and the main result of the theory is completed. The interplay between redundancy and robustness in frame expansions is illustrated by a simple example. We then restate Ron and Shen’s Unitary Extension Principle and give a simple direct proof different from the original derivation in [2].

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References

  1. J. J.Benedetto and S. Li. MRA frames with applicationsICASSP’93 Minneapolis,III,pp. 304–307, April 1993.

    Google Scholar 

  2. A. Ron and Z. Shen Affine systems in L2: The analysis of the analysis operator,J. Funct. Anal., (1997).

    Google Scholar 

  3. S. Mallat. Multiresolution approximations and wavelet orthonormal bases of L2 Trans. Amer. Math. Soc. 315(1989), 69–87.

    MathSciNet  MATH  Google Scholar 

  4. Y. Meyer. Ondelettes et Opérateurs, HermannParis1990.

    Google Scholar 

  5. R.J.Ruffin and A. C. Schaeffer. A class of non-harmonic Fourier series,Trans. Amer. Math. Soc. 72(1952), 341–366.

    Article  MathSciNet  Google Scholar 

  6. I. Daubechies, A. Grossmann, and Y. Meyer. Painless nonorthogonal expansionsJ. Math. Phys. 27(1986), 1271–1283.

    Article  MathSciNet  MATH  Google Scholar 

  7. I. Daubechies. Ten Lectures on Wavelets, CBMS—NSF Series in Applied Mathematics, SIAM, Philadelphia, 1992.

    Book  Google Scholar 

  8. J. J. Benedetto and S. Li. The theory of multiresolution analysis frames and applications to filter banksAppl. Comput. Harmonic Anal. 5(1998), 389–427.

    Article  MathSciNet  MATH  Google Scholar 

  9. A. Ron and Z. Shen. Frames and stable bases for shift invariant subspaces ofL 2Can. J. Math47, (1995)1051–1094.

    Article  MathSciNet  MATH  Google Scholar 

  10. A. Ron and Z. Shen. Compactly supported tight affine spline frames in L2Math. Comp. (1997).

    Google Scholar 

  11. A. Ron and Z. Shen. Affine Systems in L 2 II: Dual systems, J. Fourier Anal. Appl.3(1997), 617–637.

    Article  MathSciNet  Google Scholar 

  12. R. M. Young.An Introduction to Non-Harmonic Fourier SeriesAcademic Press, New York, 1980.

    Google Scholar 

  13. A. Beurling and P. Malliavin. On Fourier transforms of measures with compact supportActa Math. 107 (1962), 291–309.

    Article  MathSciNet  MATH  Google Scholar 

  14. A. Beurling and P. Malliavin. On the closure of characters and the zeros of entire functionsActa Math. 118 (1967), 79–93.

    Article  MathSciNet  MATH  Google Scholar 

  15. J. J. Benedetto and M. W. Frazier (eds.).Wavelets: Mathematics and ApplicationsCRC Press, Boca Raton, 1994.

    MATH  Google Scholar 

  16. H. G. Feichtinger and T. Strohmer (eds.).Gabor Analysis and AlgorithmsBirkhäuser, Boston, 1998.

    MATH  Google Scholar 

  17. K. Gröchenig and A. Ron. Tight compactly supported wavelet frames of arbitrarily high smoothnessProc. Amer. Math. Soc. 126(1998), 1101–1107.

    Article  MathSciNet  MATH  Google Scholar 

  18. I. Gohberg and S. Goldberg.Basic Operator TheoryBirkhäuser, Boston, 1981.

    Book  MATH  Google Scholar 

  19. J. J. Benedetto and D. Walnut. Gabor frames for L2and related spaces Chapter 3 in

    Google Scholar 

  20. P. P. Vaidyanathan.Multirate Systems and Filter BanksPrentice Hall, Englewood Cliffs, NJ, 1993.

    Google Scholar 

  21. A. Cohen and I. Daubechies. A stability criterion for biorthogonal wavelet bases and their related subband coding schemesDuke Math J. 68(1992), 313–335.

    Article  MathSciNet  MATH  Google Scholar 

  22. S. Mallat. A Wavelet Tour of Signal Processing Academic Press, San Diego, CA, 1998.

    MATH  Google Scholar 

  23. M. Vetterli and J. Kovaeevie.Wavelets and Subband CodingPrentice Hall, Englewood Cliffs, NJ, 1995.

    Google Scholar 

  24. H. O. Kim and J. K. Lim Frame multiresolution analyses, preprint, 1997.

    Google Scholar 

  25. C. de Boor, R. A. DeVore, and A. Ron. The structure of finitely generated shift invariant subspaces of L2 J. Funct. Anal. 119 (1994), 37–78.

    Article  MathSciNet  MATH  Google Scholar 

  26. C. Di-Rong, On the splitting trick and wavelet frame packets, preprint 1997.

    Google Scholar 

  27. P. G. Casazza, O. Christensen, and N. J. Kalton. Frames of translates, preprint.

    Google Scholar 

  28. S. Li. A theory of generalized multiresolution structure and affine pseudoframes, preprint 1998.

    Google Scholar 

  29. C. de Boor, R. A. DeVore, and A. Ron. On the construction of multivariate (pre)waveletsConstr. Approx.Special Issue on Wavelets, 9 (1993), 123–166.

    MATH  Google Scholar 

  30. J. J. Benedetto. Harmonic Analysis andApplications, CRC Press, Boca Raton, FL, 1997.

    Google Scholar 

  31. J. J. Benedetto.Spectral SynthesisAcademic Press, New York, 1975.

    Google Scholar 

  32. G. Zimmermann.Projective multiresolution analysis and generalized samplingPhD Thesis, University of Maryland, College Park, 1994.

    Google Scholar 

  33. P. M. Aziz, H. V. Sorensen, and J. van der Spiegel.An overview of sigma—delta converters, IEEE Signal Processing, Jan.1996.

    Google Scholar 

  34. J. Munch. Noise reduction in tight Weyl-Heisenberg framesIEEE Trans. Inform. Theory38 (1992), 608–616.

    Article  MathSciNet  MATH  Google Scholar 

  35. H. Bölcskei. Oversampled filter banks and predictive subband coders, Dissertation TU, Vienna, 1997.

    Google Scholar 

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Benedetto, J.J., Treiber, O.M. (2001). Wavelet Frames: Multiresolution Analysis and Extension Principles. In: Debnath, L. (eds) Wavelet Transforms and Time-Frequency Signal Analysis. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0137-3_1

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  • DOI: https://doi.org/10.1007/978-1-4612-0137-3_1

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-6629-7

  • Online ISBN: 978-1-4612-0137-3

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