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Abstract

This chapter describes wavelet analysis in the spaces of discrete splines whose spans are powers of 2. This wavelet analysis is similar to wavelet analysis in the polynomial-spline spaces. The transforms are based on relations between exponential discrete splines from different resolution scales. Generators of discrete-spline wavelet spaces are described. The discrete-spline wavelet transforms generate wavelet transforms in signal space. Practically, wavelet transforms of signals are implemented by multirate filtering of signals by two-channel filter banks with the downsampling factor 2 (critically sampled filter banks). The filtering implementation is accelerated by switching to the polyphase representation of signals and filters.

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Notes

  1. 1.

    Here \(U_{[m]}^{4r}(\omega ) \) is the characteristic function of the space \({}^{4r}\mathscr {S}_{[m]}\).

References

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Correspondence to Amir Z. Averbuch .

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Averbuch, A.Z., Neittaanmäki, P., Zheludev, V.A. (2016). Non-periodic Discrete-Spline Wavelets. In: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-22303-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-22303-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22302-5

  • Online ISBN: 978-3-319-22303-2

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