cwtp | R Documentation |
Computes the continuous wavelet transform with (complex-valued) Morlet wavelet and its phase derivative.
cwtp(input, noctave, nvoice=1, w0=2 * pi, twoD=TRUE, plot=TRUE)
input |
input signal (possibly complex-valued) |
noctave |
number of powers of 2 for the scale variable |
nvoice |
number of scales in each octave (i.e., between two consecutive powers of 2). |
w0 |
central frequency of the wavelet. |
twoD |
logical variable set to |
plot |
if set to |
list containing the continuous (complex) wavelet transform and the phase derivative
wt |
array of complex numbers for the values of the continuous wavelet transform. |
f |
array of the same dimensions containing the values of the derivative of the phase of the continuous wavelet transform. |
See discussions in the text of “Practical Time-Frequency Analysis”.
cgt
, cwt
, cwtTh
,
DOG
for wavelet transform, and gabor
for
continuous Gabor transform.
## discards imaginary part with error, ## c code does not account for Im(input) x <- 1:512 chirp <- sin(2*pi * (x + 0.002 * (x-256)^2 ) / 16) chirp <- chirp + 1i * sin(2*pi * (x + 0.004 * (x-256)^2 ) / 16) retChirp <- cwtp(chirp, noctave=5, nvoice=12)
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