🚀 go-pugleaf

In article <1992Sep30.132441.10320@netnews.whoi.edu> rich@boreas.whoi.edu writes:
>
>
>I am trying to generate spectral estimates from time series which have
>2 problems:
>
>   1) dropouts, i.e. gaps in the time series (perhaps 20% of the values)
>   2) error spikes (perhaps 2% of the values)
>
>The standard window-fft-and-average techniques seem to be inadequate
>for this - I can't think of a good way to handle the gaps (other than
>ignoring them by removing them from the series), and the spikes tend to
>give a lot of "white" energy.
>
>  .......
>
>Can anyone help me with some good hints or references?
>


 The Nov/Dec 1990 issue of Computers in Physics, Numerical Recipes
article, discusses Savitzky-Golay smoothing filters.  A quick perusal
gives me the impression that this may be a method to consider, though
it may not be the best solution for the gappiness problem.

 complete ref:  Press, W H and S A Teukolsky, 1990, Computers in Physics 4(6)
                pp 669-672


We haven't tried this out yet, so we would appreciate hearing from you
one way or the other.

Bruce Huber
Lamont-Doherty Geological Obs.
Palisades NY 10964