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Compute the Inverse Forward Wavelet Transform of a signal $f$ for the Meyer wavelet (translation invariant).
IFWT_TI(f_fft, psyJ_fft, lev, thr, nn, SOFT = FALSE)
Inverse Forward Wavelet Transform of a signal $f$, after thresholding.
vector of the Fourier coefficient of $f$
vector of the Fourier coefficient of the Meyer wavelet.
resolution level
threshold (has lentgh=1)
sample size
if SOFT=TRUE, uses the soft thresholding policy as opposed to the hard (SOFT=FALSE, the default).
Marc Raimondo
Raimondo, M. and Stewart, M. (2007), "The WaveD Transform in R", Journal of Statistical Software.
WaveD, ~~~
WaveD
psyJ_fft=wavelet_YM(4,10,3); f_fft=fft(sin(2*pi*seq(0,1,le=1024))); IFWT_TI(f_fft, psyJ_fft, 4, 0, 1024)
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