Hi Gert,
That was it. I need to enforce Parseval's Theorem in time. Now everything
lines up. Good catch!!
Cheers,
Jason
Employed by and affiliated with Amphenol AICC (https://www.amphenol-icc.com/
)
On Tue, Jul 9, 2019 at 9:39 AM Havermann, Gert <Gert.Havermann@xxxxxxxxxxx>
wrote:
Hi Jason,
I'm not the math genius, but if I remember correctly, then in FFT, the
amplitude is scaled by the number of samples. If you use more sampling
points on the same curve, then the amplitude will rise. One simple work
around would be to scale the magnitude accordingly by the factor of added
sampling points.
Mit freundlichen GrüÃen / Kind regards.
Gert Havermann
Signal Integrity Engineer
Dept.: Corporate Technology Services
HARTING Stiftung & Co. KG
MarienwerderstraÃe 3
D-32339 Espelkamp
Phone +49 (0)5772 47 857
Fax +49 (0)5772 47 90857
mailto:gert.havermann@xxxxxxxxxxx
http://www.HARTING.com
----------------------------------------
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www.HARTING.com
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Vorstand: Dipl.-Kfm. Philip F. W. Harting (Vorsitzender), Dipl.-Kffr.
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-----Ursprüngliche Nachricht-----
Von: si-list-bounce@xxxxxxxxxxxxx <si-list-bounce@xxxxxxxxxxxxx> Im
Auftrag von Jason Ellison
Gesendet: Dienstag, 9. Juli 2019 14:39
An: si-list <si-list@xxxxxxxxxxxxx>
Betreff: [SI-LIST] Interpolation adds power to the system?
Hi SI Listeners!
I'm interpolating a time-domain pulse response to get the required M
points per UI to calculate COM. When I do that, I check the FFT of the
interpolated impulse response just to see how it effectively
"extrapolated". I notice that the frequency domain data has been shifted up
20 dB!! I can also see this change in the COM result.
Has anyone else seen this effect and know a workaround?
Cheers,
Jason
Employed by and affiliated with Amphenol AICC (
https://www.amphenol-icc.com/
)
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