Description Details Author(s) References See Also
Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.
The DESCRIPTION file:
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The main routines of the package are denoisepermC
and cnlt.reg
which perform complex-valued lifting-based denoising, using a single or a multiple (chosen) number of lifting trajectories, respectively.
Matt Nunes [aut, cre], Marina Knight [aut], Jean Hamilton [ctb], Piotr Fryzlewicz [ctb]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>
Hamilton, J., Nunes, M. A, Knight, M. I. and Fryzlewicz, P. (2018) Complex-valued wavelet lifting and applications.
Technometrics, 60 (1), 48-60, DOI 10.1080/00401706.2017.1281846.
For related literature on the lifting methodology adopted in the technique, see
Nunes, M. A., Knight, M. I and Nason, G. P. (2006) Adaptive lifting for nonparametric regression.
Stat. Comput. 16 (2), 143–159.
Knight, M. I. and Nason, G. P. (2009) A 'nondecimated' wavelet transform. Stat. Comput.
19 (1), 1–16.
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