Learn R Programming

waved (version 1.3)

Wavelet Deconvolution

Description

Makes available code necessary to reproduce figures and tables in papers on the WaveD method for wavelet deconvolution of noisy signals as presented in The WaveD Transform in R, Journal of Statistical Software Volume 21, No. 3, 2007.

Copy Link

Version

Install

install.packages('waved')

Monthly Downloads

235

Version

1.3

License

GPL

Maintainer

Michael Stewart

Last Published

February 14th, 2024

Functions in waved (1.3)

stoptime

Optimal stoping time
summary.wvd

Summary of wvd objects
WaveD

WaveD
WaveDjD

WaveD projection, details.
rot90

Rotate matrix 90 degrees
wavelet_YM

Meyer wavelet function, Fourier domain.
WaveDjC

WaveD projection, coarse level.
phyHAT

Meyer scaling function (Fourier domain).
scaling_YM

Meyer scaling function, Fourier domain.
multires

Create Multi-resolution Plot
scale

Estimates standard deviation of noise
speczoom

Plot spectrum
maxithresh

Returns maxiset threshold
projWj

Projection onto $W_j$
WaveDjF

WaveD projection, fine resolution level.
make.lidar

Make LIDAR signal
psyHAT

Meyer wavelet function (Fourier domain).
projVj

Projection onto $V_j$
findONE

Find positive entries
plot.wvd

Plot wvd objects
waved.example

WaveD examples
plotspec

Plot spectrum
findZERO

Find negative entries
threshsum

Show threshold effects
IWaveD

Computes the Inverse WaveD transform
dyadjk

Lexicographic ordering (dyadic)
FWaveD

FWaveD
MultiThresh1

Maxiset threshold
dyad

Dyadic band
PhaseC

Phase matrix
FWT_TI

Forward Wavelet Transform (translation invariant).
MeyerWindow

Meyer wavelet window
BlurSignal

Blurr Signal
IFWT_TI

Inverse Forward Wavelet Transform (translation invariant).
SoftThresh

Soft Threshold
fine_YM

~~function to do ... ~~
projFj

Projection onto $F_j$
HardThresh

Hard Threshold
fftshift

Shift Fourier frequencies
make.doppler

Make Doppler signal
find.j1

Fine resolution level for WaveD fit