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Discrete inverses for nonorthogonal wavelet transforms
SPIE Proceedings, 1994Discrete nonorthogonal wavelet transforms play an important role in signal processing by offering finer resolution in time and scale than their orthogonal counterparts. The standard inversion procedure for such transforms is a finite expansion in terms of the analyzing wavelet.
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The High-Resolution Wavelet Transform: A Generalization of the Discrete Wavelet Transforms.
Proposed for presentation at the IEEE Ubiquitous Computing, Electronics, & Mobile Communication Conference (UEMCON) in ,, 2022Miguel Jiménez-Aparicio +2 more
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Shift-invariance in the Discrete Wavelet Transform. [PDF]
, 2003 In this paper we review a number of approaches to reducing, or removing, the problem of shift variance in the discrete wavelet transform (DWT). We describe a generalization of the critically sampled DWT and the fully sampled 'algorithme a trous' that provides approximate shift-invariance with an acceptable level of redundancy.
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Fast algorithms for discrete and continuous wavelet transforms
IEEE Transactions on Information Theory, 1992Pierre Duhamel, Olivier Rioul
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Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding
IEEE Transactions on Circuits and Systems for Video Technology, 2000Shipeng Li
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