Reconstructs signal from a “regularly sampled” ridge, in the wavelet case.
regrec(siginput, cwtinput, phi, compr, noct, nvoice, epsilon=0,
w0=2 * pi, fast=FALSE, plot=FALSE, para=0, hflag=FALSE,
check=FALSE, minnbnodes=2, real=FALSE)Returns a list containing:
reconstruction from a ridge.
<wavelets,dualwavelets> matrix.
coefficients of dual wavelets in reconstructed signal.
array containing the dual wavelets.
array containing the wavelets on sampled ridge.
wavelet transform of sol, restricted to the ridge.
wavelet transform of signal, restricted to the ridge.
second part of the reconstruction kernel.
number of nodes used for the reconstruction.
input signal.
wavelet transform, output of cwt.
unsampled ridge.
subsampling rate for the wavelet coefficients (at scale 1)
number of octaves (powers of 2)
number of different scales per octave
coefficient of the \(Q_2\) term in reconstruction kernel
central frequency of Morlet wavelet
if set to TRUE, the kernel is computed using trapezoidal rule.
if set to TRUE, displays original and reconstructed signals
scale parameter for extrapolating the ridges.
if set to TRUE, uses \(Q_1\) as first term in the kernel.
if set to TRUE, computes cwt of reconstructed signal.
minimum number of nodes for the reconstruction.
if set to TRUE, uses only real constraints on the transform.
See discussions in the text of “Practical Time-Frequency Analysis”.
regrec2, ridrec, gregrec,
gridrec.