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very fast spline interp function for heavy oversampling? [message #20388]

Tue, 20 June 2000 00:00

R.G. Stockwell
Messages: 363
Registered: July 1999

Senior Member

Greetings,

I have a situation where I take a time series, and need to interpolate the
function to many more samples.
i.e. original time index = [1,2,3,4....10]
and I need samples at new time index =
[1.000,1.001,1.002.......9.999,10.000].

The canned IDL routine spline() works great, but is slow. Unfortunately, I
don't have time to rewrite the interpolation to something more efficient.

I don't want to use any linear scheme to interpolate, since I want a smooth
function (i.e. smooth "derivatives") around the data points. I would guess
that
it would be easy to efficiently calculate this interp with spline, perhaps
some vectorization could be put into the function. Or perhaps an
"upsample" function would work, but modifications would be needed as the
time series is not evenly sampled.

Are there any user routines out there that can do this interpolation
efficiently?

Cheers,
bob

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[Message index]

		very fast spline interp function for heavy oversampling? By: R.G. Stockwell on Tue, 20 June 2000 00:00
		Re: very fast spline interp function for heavy oversampling? By: Paul van Delst on Thu, 22 June 2000 00:00

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