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 SUGABOR -  Outputs a time-frequency representation of seismic data via
	        the Gabor transform-like multifilter analysis technique 
		presented by Dziewonski, Bloch and  Landisman, 1969.	

    sugabor <stdin >stdout [optional parameters]			

 Required parameters:					 		
	if dt is not set in header, then dt is mandatory		

 Optional parameters:							
	dt=(from header)	time sampling interval (sec)		
	fmin=0			minimum frequency of filter array (hz)	
	fmax=NYQUIST 		maximum frequency of filter array (hz)	
	beta=3.0		ln[filter peak amp/filter endpoint amp]	
	band=.05*NYQUIST	filter bandwidth (hz) 			
	alpha=beta/band^2	filter width parameter			
	verbose=0		=1 supply additional info		
	holder=0		=1 output Holder regularity estimate	
				=2 output linear regularity estimate	

 Notes: This program produces a muiltifilter (as opposed to moving window)
 representation of the instantaneous amplitude of seismic data in the	
 time-frequency domain. (With Gaussian filters, moving window and multi-
 filter analysis can be shown to be equivalent.)			

 An input trace is passed through a collection of Gaussian filters	
 to produce a collection of traces, each representing a discrete frequency
 range in the input data. For each of these narrow bandwidth traces, a 
 quadrature trace is computed via the Hilbert transform. Treating the narrow
 bandwidth trace and its quadrature trace as the real and imaginary parts
 of a "complex" trace permits the "instantaneous" amplitude of each
 narrow bandwidth trace to be compute. The output is thus a representation
 of instantaneous amplitude as a function of time and frequency.	

 Some experimentation with the "band" parameter may necessary to produce
 the desired time-frequency resolution. A good rule of thumb is to run 
 sugabor with the default value for band and view the image. If band is
 too big, then the t-f plot will consist of stripes parallel to the frequency
 axis. Conversely, if band is too small, then the stripes will be parallel
 to the time axis. 							

 Caveat:								
 The Gabor transform is not a wavelet transform, but rather are sharp	
 frame basis. However, it is nearly a Morlet continuous wavelet transform
 so the concept of Holder regularity may have some meaning. If you are	
 computing Holder regularity of, say, a migrated seismic section, then
 set band to 1/3 of the frequency band of your data.			

 Examples:								
    suvibro | sugabor | suximage					
    suvibro | sugabor | suxmovie n1= n2= n3= 				
     (because suxmovie scales it's amplitudes off of the first panel,  
      may have to experiment with the wclip and bclip parameters	
    suvibro | sugabor | supsimage | ... ( your local PostScript utility)


 Credits:

	CWP: John Stockwell, Oct 1994
      CWP: John Stockwell Oct 2004, added holder=1 option
 Algorithm:

 This programs takes an input seismic trace and passes it
 through a collection of truncated Gaussian filters in the frequency
 domain.

 The bandwidth of each filter is given by the parameter "band". The
 decay of these filters is given by "alpha", and the number of filters
 is given by nfilt = (fmax - fmin)/band. The result, upon inverse
 Fourier transforming, is that nfilt traces are created, with each
 trace representing a different frequency band in the original data.

 For each of the resulting bandlimited traces, a quadrature (i.e. pi/2
 phase shifted) trace is computed via the Hilbert transform. The