gcrcrec  R Documentation 
Reconstructs a realvalued signal from ridges found by crazy climbers on a Gabor transform.
gcrcrec(siginput, inputgt, beemap, nvoice, freqstep, scale, compr, bstep=5, ptile=0.01, epsilon=0, fast=TRUE, para=5, minnbnodes=3, hflag=FALSE, real=FALSE, plot=2)
siginput 
original signal. 
inputgt 
Gabor transform. 
beemap 
occupation measure, output of 
nvoice 
number of frequencies. 
freqstep 
sampling step for frequency axis. 
scale 
size of windows. 
compr 
compression rate to be applied to the ridges. 
bstep 
size (in the time direction) of the steps for chaining. 
ptile 
threshold of ridge 
epsilon 
constant in front of the smoothness term in penalty function. 
fast 
if set to TRUE, uses trapezoidal rule to evaluate Q_2. 
para 
scale parameter for extrapolating the ridges. 
minnbnodes 
minimal number of points per ridge. 
hflag 
if set to FALSE, uses the identity as first term in the kernel. If not, uses Q_1 instead. 
real 
if set to 
plot 

When ptile
is high, boundary effects may appear. para
controls extrapolation of the ridge.
Returns a structure containing the following elements:
rec 
reconstructed signal. 
ordered 
image of the ridges (with different colors). 
comp 
2D array containing the signals reconstructed from ridges. 
See discussions in the text of “Practical TimeFrequency Analysis”.
crc
, cfamily
, crcrec
,
scrcrec
.
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