Linear Prediction vs. First Point Scaling

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2 total messages Started by Lee, Ji Hyun Sun, 05 Jan 1997 00:00

Author: Lee, Ji Hyun
Date: Sun, 05 Jan 1997 00:00

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To my knowledge, if we don't half dwell time delay during data
acqusition, first point is scaled with some factor, which is to
eliminate ridges.
After I predict some first points of time domain data with the linear
precdiction method and replace the experimental data with them, which is
right : I should scale the first point as above or I don't need to do
such a thing after linear prediction? 

Happy New Year.

Pharmacy, Seoul National University

Re: Linear Prediction vs. First Point Scaling

Author: David S. Stephenson
Date: Tue, 07 Jan 1997 00:00

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Lee, Ji Hyun wrote:
> 
> To my knowledge, if we don't half dwell time delay during data
> acqusition, first point is scaled with some factor, which is to
> eliminate ridges.
> After I predict some first points of time domain data with the linear
> precdiction method and replace the experimental data with them, which is
> right : I should scale the first point as above or I don't need to do
> such a thing after linear prediction?
> 
> Happy New Year.
> 
> Pharmacy, Seoul National University

I think you should still multiply the first point by 0.5, even afer
linear prediction, only then will the discrete transform approximate
the continuous transform (this assumes that the LAST  point of your
fid is nearly zero). For a discussion see "The Fast Fourier Transform"
by E.O.Brigham.

All the best

David
-- 
David S. Stephenson
Institute of Organic Chemistry                  FON +49-89-5902-229
University of Munich                            FAX +49-89-5902-483
Karlstrasse 23                 EMAIL dss@org.chemie.uni-muenchen.de
80333 Munich            URL http://www.chemie.uni-muenchen.de/cicum

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