Abstract
This paper provides a new formulation of wavelet transforms in terms of generalized matrix products. After defining the generalized matrix product, a fast algorithm using parallelism for compactly supported wavelet transforms that satisfy m-scale scaling equations for m ≥ 2 is established. Several special examples, such as the Fourier-wavelet matrix expansion and wavelet decompositions and reconstructions, that demonstrate that the new formulation and algorithm offer unique advantages over existing wavelet algorithms are provided.
This research was supported in part by U.S. Air Force contract F08635-89-C-0134.
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© 1993 Springer Science+Business Media New York
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Zhu, H., Ritter, G.X. (1993). The Generalized Matrix Product and the Wavelet Transform. In: Laine, A. (eds) Wavelet Theory and Application. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3260-6_6
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DOI: https://doi.org/10.1007/978-1-4615-3260-6_6
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