| CNLTreg-package {CNLTreg} | R Documentation | 
Complex-Valued Wavelet Lifting for Signal Denoising
Description
Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.
Details
The DESCRIPTION file:
| Package: | CNLTreg | 
| Type: | Package | 
| Title: | Complex-Valued Wavelet Lifting for Signal Denoising | 
| Version: | 0.1-2 | 
| Date: | 2018-07-18 | 
| Author: | Matt Nunes [aut, cre], Marina Knight [aut], Jean Hamilton [ctb], Piotr Fryzlewicz [ctb] | 
| Authors@R: | c(person("Matt","Nunes", role=c("aut","cre"),email="nunesrpackages@gmail.com"),person("Marina", "Knight", role="aut"), person("Jean", "Hamilton", role="ctb"), person("Piotr", "Fryzlewicz", role="ctb")) | 
| Maintainer: | Matt Nunes <nunesrpackages@gmail.com> | 
| Description: | Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>. | 
| License: | GPL-2 | 
| Depends: | adlift, miscTools, nlt | 
| Suggests: | MASS | 
Index of help topics:
CNLTreg-package         Complex-Valued Wavelet Lifting for Signal
                        Denoising
cnlt.reg                Performs 'nondecimated' complex-valued wavelet
                        lifting for signal denoising
denoisepermC            Denoises a signal using the complex-valued
                        lifting transform and multivariate soft
                        thresholding
denoisepermCh           Denoises a signal using the complex-valued
                        lifting transform and multivariate soft
                        thresholding and heteroscedastic variance
                        computation
fwtnppermC              Forward complex wavelet lifting transform
mthreshC                Function to perform 'multiwavelet style'
                        level-dependent soft thresholding for
                        complex-valued wavelet coefficients
orthpredfilters         Computes orthogonal filters
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.  
Author(s)
Matt Nunes [aut, cre], Marina Knight [aut], Jean Hamilton [ctb], Piotr Fryzlewicz [ctb]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>
References
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.