| HHSpecPlot {hht} | R Documentation | 
Display Hilbert periodogram
Description
This function displays the Hilbert periodogram, with options to plot individual IMFs and also the Fourier periodogram for comparison.
Usage
HHSpecPlot(hspec, freq.span = NULL, scaling = "none", imf.list = NULL, 
    show.total = TRUE, show.fourier = FALSE, scale.fourier = FALSE, 
    show.imfs = FALSE, legend = TRUE, ...)
Arguments
| hspec | Data structure returned by  | 
| freq.span | Frequency range to plot,  | 
| scaling | Amplitude scaling, can be  | 
| imf.list | Which IMFs to plot, requires  | 
| show.total | Show the ensemble Hilbert spectrogram | 
| show.fourier | Show the Fourier periodogram | 
| scale.fourier | Scale Fourier and Hilbert spectra to each other for easier comparison | 
| show.imfs | Plot individual IMF spectra | 
| legend | Determines whether or not a legend is shown | 
| ... | This function supports some optional parameters as well: 
 | 
Details
This function plots the Hilbert periodogram of a signal, with options to show periodograms of individual IMFs. You can also plot a simple Fourier periodogram for comparison.
Author(s)
Daniel Bowman danny.c.bowman@gmail.com
See Also
Examples
#Here we see how the EMD produces a dyadic filter bank for uniform random noise
#The frequency distributions of all but the first IMF display a Chi-Square distribution
#See Huang, N. E. & Wu, Z. 
#A review on Hilbert-Huang Transform: Method and its applications to geophysical studies.
#Reviews of Geophysics, 2008, 46, RG2006
#The EMD of this signal may take a couple of minutes to run
set.seed(628)
sig  <-  runif(10000)
tt  <-  seq_len(length(sig)) * 0.01
## Not run: emd.result  <-  Sig2IMF(sig, tt)
dfreq  <-  0.1
## Not run: hspec  <-  HHSpectrum(emd.result, dfreq)
## Not run: HHSpecPlot(hspec, show.imfs = TRUE, 
imf.list = 1:10, show.total = TRUE, scaling = "sqrt", 
imf.lwd = rep(2, 10), total.lty = 3)
## End(Not run)