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Resampling data with irregular time base [message #15693]

Sat, 05 June 1999 00:00

krieger
Messages: 7
Registered: June 1997

Junior Member

I have data with an irregular time base, which I would like to resample
in a regular spaced time base. How can I average over all original data
points in each interval of the new time vector without resorting to a
FOR loop?
Currently I am using this horrible kludge:

deltat = newtime[1] - newtime[0]
FOR n=0, n_elements(newtime)-1 DO BEGIN
index = where((oldtime GT (newtime[n]-deltat/2.)) AND $
(oldtime LE (newtime[n]+deltat/2.)), $
count)
IF count GT 0 THEN newdata[n] = total(olddata[index]) / count
ENDFOR

Any idea how to transform this in vectorized IDL code? At the moment I
see no way apart from writing the function in C and calling it by
linkimage.

Best

Karl

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[Message index]

		Resampling data with irregular time base By: krieger on Sat, 05 June 1999 00:00
		Re: Resampling data with irregular time base By: Paul Krummel on Wed, 09 June 1999 00:00

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