gcrcrec | R Documentation |
Reconstructs a real-valued 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 Time-Frequency Analysis”.
crc
, cfamily
, crcrec
,
scrcrec
.
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