cgt: Continuous Gabor Transform

In Rwave: Time-Frequency Analysis of 1-D Signals

Continuous Gabor Transform

Description

Computes the continuous Gabor transform with Gaussian window.

Usage

cgt(input, nvoice, freqstep=(1/nvoice), scale=1, plot=TRUE)

Arguments

input	input signal (possibly complex-valued).
nvoice	number of frequencies for which gabor transform is to be computed.
freqstep	Sampling rate for the frequency axis.
scale	Size parameter for the window.
plot	logical variable set to TRUE to display the modulus of the continuous gabor transform on the graphic device.

Details

The output contains the (complex) values of the gabor transform of the input signal. The format of the output is a 2D array (signal_size x nb_scales).

Value

continuous (complex) gabor transform (2D array).

Warning

freqstep must be less than 1/nvoice to avoid aliasing. freqstep=1/nvoice corresponds to the Nyquist limit.

References

See discussion in text of “Practical Time-Frequency Analysis”.

See Also

cwt, cwtp, DOG for continuous wavelet transforms. cwtsquiz for synchrosqueezed wavelet transform.

Examples

data(HOWAREYOU)
   plot.ts(HOWAREYOU)
 
cgtHOWAREYOU <- cgt(HOWAREYOU,70,0.01,100)

Rwave documentation built on Oct. 22, 2022, 1:05 a.m.