evolMTM | R Documentation |
Time varying Multi-taper Spectrum (Gabor Transform)
evolMTM(a, dt = 0, numf = 1024, Ns = 0, Nov = 0, fl = 0, fh = 10)
a |
Signal |
dt |
Sample rate interval (s) |
numf |
Number of points in fft |
Ns |
Number of sample in sub-window |
Nov |
Number of sample to overlap |
fl |
low frequency to display |
fh |
high frequency to display |
This is a spectrogram function similar to the Gabor Transform but uses the MTM method for spectrum estimation.
List
sig |
input signal |
dt |
deltat |
wpars |
input parameters |
DSPEC |
spectrum image |
freqs |
output frequencies (y axis) |
tims |
output times (x-axis) |
Jonathan M. Lees<jonathan.lees@unc.edu>
Lees, J. M. and Park, J., 1995: Multiple-taper spectral analysis: A stand-alone C-subroutine, Computers and Geology, 21(2), 199-236.
evolfft, MTM.drive
data(KH)
### swig(KH)
Xamp <- KH$JSTR[[1]]
dt <- KH$dt[1]
plot(seq(from=0, length=length(Xamp), by=dt), Xamp, type='l')
## limit the trace, somewhat
Xamp <- Xamp[12670:22669]
plot(seq(from=0, length=length(Xamp), by=dt), Xamp, type='l')
Nfft<-4096 ### fft length
Ns<-512 ### number of samples in a window
Nov<-480 ### number of samples of overlap per window
fl<-0 ### low frequency to return
fh<-12 ### high frequency to return
EV <- evolMTM(Xamp, dt = dt, numf = Nfft, Ns = Ns, Nov = Nov, fl = fl, fh
= fh)
PE <- plotevol(EV, log=1, fl=0.01, fh=fh, col=rainbow(100), ygrid=FALSE,
STAMP="", STYLE="ar")
## compare with:
## EVf <- evolfft(Xamp, dt = dt, Nfft =Nfft , Ns =Ns , Nov =Nov , fl =fl, fh = fh)
## PE <- plotevol(EVf, log=1, fl=fl, fh=fh, col=rainbow(100), ygrid=FALSE,STAMP="", STYLE="fft")
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