scottk/oopt-gnpy
1
0
Fork 0
mirror of https://github.com/Telecominfraproject/oopt-gnpy.git synced 2025-10-29 17:22:42 +00:00
Code Issues Packages Projects Releases 10 Wiki Activity

Fix 2 minor typos in docs/model.rst

Browse Source 
Signed-off-by: Florian FRANK <florian1.frank@orange.com>
Change-Id: Ic2160f554b120b011c941aca36b69a0f032cf45f
This commit is contained in:
Florian FRANK
2023-03-16 11:46:15 +01:00
parent 185adabd77
commit 7d9a508955
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
docs/model.rst
View File

@@ -126,9 +126,9 @@ that can be easily evaluated extending the FWM theory from a set of discrete
tones - the standard FWM theory introduced back in the 90s by Inoue
:cite:`Innoue-FWM`- to a continuity of tones, possibly spectrally shaped.
Signals propagating in the fiber are not equivalent to Gaussian noise, but
thanks to the absence of in-line compensation for choromatic dispersion, the
thanks to the absence of in-line compensation for chromatic dispersion, the
become so, over short distances. So, the Gaussian noise model with incoherent
accumulation of NLI has estensively proved to be a quick yet accurate and
accumulation of NLI has extensively proved to be a quick yet accurate and
conservative tool to estimate propagation impairments of fiber propagation.
Note that the GN-model has not been derived with the aim of an *exact*
performance estimation, but to pursue a conservative performance prediction.