Abstract
Filters in a GMRA encode the containments V−1 ⊂ V0 and W−1 = δ−1W0 ⊂ V0 as relationships between scaling functions, wavelet functions, and their dilates. Classical filters were defined in \(L^2(\mathbb R)\) in terms of Fourier transforms of these functions, and were used to build MRA’s and orthonormal wavelets with desirable properties. Generalized filters take advantage of the GMRA structure by using the unitary operator given by spectral multiplicity in place of the Fourier transform.
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References
Aldroubi A., Cabrelli, C., Molter, U.: Wavelets on irregular grids with arbitrary dilation and frame atoms for \(L^2(\mathbb R^d)\). Appl. Comput. Harmon. Anal. 17, 119–140 (2004)
Baggett, L., Courter, J., Merrill, K.: The construction of wavelets from generalized conjugate mirror filters in \(L^2(\mathbb R^n)\). Appl. Comput. Harmon. Anal. 13, 201–223 (2002)
Baggett, L., Jorgensen, P., Merrill, K., Packer, J.: Construction of Parseval wavelets from redundant filter systems. J. Math. Phys. 46, 1–28 (2005)
Baggett, L., Jorgensen, P., Merrill, K., Packer, J.: A non-MRA Cr frame wavelet with rapid decay. Acta Appl. Math. 89, 251–270 (2006)
Baggett, L., Furst, V., Merrill, K., Packer, J.: Generalized filters, the low pass condition, and connections to multiresolution analysis. J. Funct. Anal. 257, 2760–2779 (2009)
Baggett, L., Larsen, N., Merrill, K., Packer, J, Raeburn, I.: Generalized multiresolution analyses with given multiplicity functions. J. Fourier Anal. Appl. 15, 616–633 (2009)
Benedetto, J., Li, S.: The theory of multiresolution analysis frames and applications to filter banks. Appl. Comput. Harmon. Anal. 5, 389–427 (1998)
Benedetto, J., Treiber, O.: Wavelet frames: multiresolution analysis and extension principles. In: Wavelet Transforms and Time-Frequency Analysis, pp. 3–36. Birkhäuser, Boston (2001)
Bownik, M.: Riesz wavelets and generalized multiresolution analyses. Appl. Comput. Harmon. Anal. 14, 181–194 (2003)
Bownik, M., Rzeszotnik, Z.: Construction and reconstruction of tight framelets and wavelets via matrix mask functions. J. Funct. Anal. 256, 1165–1105 (2009)
Bownik, M., Speegle, D.: Meyer type wavelet bases in \(\mathbb R^2\). J. Approx. Theory 116, 49–75 (2002)
Bratteli, O., Jorgensen, P.E.T.: Isometries, shifts, Cuntz algebras and multiresolution wavelet analysis of scale N. Integr. Equ. Oper. Theory 28, 382–443 (1997)
Bratteli, O., Jorgensen, P.E.T.: Wavelets Through a Looking Glass. Birkhäuser, Boston (2002)
Calogero, A.: Wavelets on general lattices, associated with general expanding maps of \(\mathbb R^n\). Electron. Res. Announc. Am. Math. Soc. 5, 1–10 (1999)
Cohen, A.: Wavelets and Multiscale Signal Processing. Chapman and Hall, London (1995)
Courter, J.: Construction of dilation d wavelets. Contemp. Math. 247, 183–206 (1999)
Daubechies, I.: Orthonormal bases of compactly supported wavelets. Commun. Pure Appl. Math. 41, 909–996 (1988)
Esteban, D., Galand, C.: Application of quadrature mirror filters to split band voice coding systems. In: IEEE International Conference on ICASSP’77, Washington D.C., pp. 191–195 (1977)
Furst, V.: A characterization of semiorthogonal Parseval wavelets in abstract Hilbert spaces. J. Geom. Anal. 17, 569–591 (2007)
Hernandez, E., Weiss, G.: A First Course on Wavelets. CRC Press, Boca Raton (1996)
Hernández, E., Wang, X., Weiss, G.: Smoothing minimally supported frequency wavelets II. J. Fourier Anal. Appl. 3, 23–41 (1997)
Lawton, W.M.: Tight frames of compactly supported affine wavelets. J. Math. Phys. 31, 1898–1901 (1990)
Mallat, S.: Multiresolution approximations and wavelet orthonormal bases of \(L^2(\mathbb R)\). Trans. Am. Math. Soc. 315, 69–87 (1989)
Merrill, K.: Smooth well-localized Parseval wavelets based on wavelet sets in \(\mathbb R^2\). Contemp. Math. 464, 161–175 (2008)
Meyer, Y.: Wavelets and Operators. Cambridge University Press, Cambridge (1992)
Meyer, Y.: Wavelets: Algorithms and Applications. Society for Industrial and Applied Mathematics, Philadelphia (1993)
Paluszyński, M., Šikić, H., Weiss, G., Xiao, S.: Generalized low pass filters and MRA frame wavelets. J. Geom. Anal. 11, 311–342 (2001)
Paluszyński, M., Šikić, H., Weiss, G., Xiao, S.: Tight frame wavelets, their dimension functions, MRA tight frame wavelets and connectivity properties. Adv. Comp. Math. 18, 297–327 (2003)
Papadakis, M.: Generalized frame multiresolution analysis of abstract Hilbert spaces. In: Benedetto, J., Zayed, A. (eds.) Sampling, Wavelets and Tomography, pp. 179–223. Birkhäuser, Boston (2004)
Ron, A., Shen, Z.: Affine systems in \(L^2(\mathbb R^d)\): the analysis of the analysis operator. J. Fourier Anal. Appl. 3, 408–447 (1997)
Strichartz, R.S.: How to make wavelets. Am. Math. Mon. 100, 539–556 (1993)
Zalik, R.A.: Riesz bases and multiresolution analyses. Appl. Comput. Harmon. Anal. 7, 315–331 (1999)
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Merrill, K.D. (2018). Generalized Filters. In: Generalized Multiresolution Analyses. Applied and Numerical Harmonic Analysis(). Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-99175-7_5
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