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Abstract: Linear transforms and expansions are fundamental mathematical tools of signal processing. In particular, the wavelet transform has played an important role in several signal processing tasks, compression being a prime example. A signal can be represented in a basis or a frame. Frames, which are an extension of bases to overcomplete sets of vectors, are sometimes preferred to bases because of their greater design freedom and recently they have had an important impact in signal processing. (Update)
Context of citations to this paper: More
...polynomial signals represent an important tool to characterize the nonstationary behaviour of piecewise smooth functions. It follows [7] Theorem 1 Given is a piecewise smooth signal f(t) defined as in Eq. 1) that is, with pieces of Lipschitz regularity ff. Then, there...
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BibTeX entry: (Update)
P.L. Dragotti, Wavelet footprints and frames for signal processing and communication, PhD, dissertation, Swiss Federal Institute of Technology, April, 2002. http://citeseer.ist.psu.edu/dragotti02wavelet.html More
@misc{ dragotti02wavelet,
author = "P. Dragotti",
title = "Wavelet footprints and frames for signal processing and communication",
text = "P.L. Dragotti, Wavelet footprints and frames for signal processing and
communication, PhD, dissertation, Swiss Federal Institute of Technology,
April, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/dragotti02wavelet.html" }
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6 Analysis of optimal filter banks for multiple description co.. - Dragotti, Servetto et al. - 2000
6 Shift-invariant gibbs free denoising algorithm based on wave.. - Dragotti, Vetterli - 2000
5 Wavelet transform footprints: Catching singularities for com.. - Dragotti, Vetterli - 2000
4 Optimal filter banks for multiple description coding: Analys.. - Dragotti, Servetto et al. - 2036
4 algorithms and applications (context) - Dragotti, Vetterli et al.
4 Oversampled filter banks - Cvetkovi'c, Vetterli - 1998
4 Overcomplete Expansions for Digital signal processing (context) - Cvetkovi'c - 1995
4 On sparse signal representations - Elad, Bruckstein - 2001
4 Quantized oversampled filter banks with erasures - Dragotti, Kovacevi'c et al. - 2001
3 Multiscape sharpening and smoothing in Besov spaces with app.. (context) - Berkner, Gormish et al. - 2001
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2 Quantized overcomplete expansions in R (context) - Goyal, Vetterli et al.
2 Deconvolution with wavelet footprints for ill-posed inverse .. - Dragotti, Vetterli - 2002
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