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Gabor Transform with AR spectrum method
doGABOR.AR(Xamp, DT = 0.008, multi = 1, scale.def = 0, TWIN = 2, TSKIP = 0.2, PCTTAP = 0.05, pord=100, PLOT=TRUE)
list
input signal
deltat
Number of frequencies output
input parameters list(Nfft=numfreqs, Ns=Ns, Nov=Nov, fl=fl, fh=fh)
spectrum image
matrix with high values of F-test at 90 percent confidence
output frequencies (y axis)
output times (x-axis)
signal
sample rate interval (s)
Multiples of time window estimate
scaling flag for plotting (0=raw, 1=log, 2=sqrt)
time for window
time for skip
percent of taper to apply to individual windows
order for the AR process (default=100)
logical, TRUE=plot to device
Jonathan M. Lees<jonathan.lees@unc.edu>
This is a spectrogram function similar to the Gabor Transform but uses the AR method for spectrum estimation.
Lees, J. M. and Park, J., 1995: Multiple-taper spectral analysis: A stand-alone C-subroutine, Computers and Geology, 21(2), 199-236.
Percival, Donald B.,Walden, Andrew T. (1993):Spectral Analysis for Physical Applications,Cambridge University Press, Cambridge, 583p.
evolfft, evolMTM, MTM.drive, GETARAIC, doGABOR.AR, DOsgram, doGABOR.MTM
data(KH) ### swig(KH) Xamp <- KH$JSTR[[1]] Xamp <- Xamp[57914:72989] EV <- doGABOR.AR(Xamp, DT = KH$dt[1] , multi = 1, scale.def = 0, TWIN = 2, TSKIP = 0.2, PCTTAP = 0.05)
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