Minor edits.

git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@6355 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
This commit is contained in:
Steven Franke 2016-01-06 02:03:26 +00:00
parent 51bad2584e
commit 2a88cdfb57

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@ -1013,8 +1013,8 @@ Here the
\begin_inset Formula $S(i,\, j)$
\end_inset
has been normalized so that its median value (essentially the average noise
level) is unity,
has been normalized so that the average value of the noise-only bins is
unity,
\begin_inset Formula $u$
\end_inset
@ -1816,7 +1816,8 @@ reference "fig:N_vs_X"
\begin_inset Formula $X\le25$
\end_inset
because all such words are successfully decoded by the BM algorithm.
because all such words are successfully decoded by a single run of the
errors-only BM algorithm.
Figure
\begin_inset CommandInset ref
LatexCommand ref
@ -1930,7 +1931,7 @@ It is interesting to note that while Rayleigh fading severely degrades the
success rate of the BM decoder, the penalties are much smaller with both
FT and hinted decoding.
Simulated Doppler spreads of 0.2 Hz actually increased the FT and DS decoding
rates slightly at SNRs close to the decosing threshold, presumably because
rates slightly at SNRs close to the decoding threshold, presumably because
with the low-rate JT65 code signal peaks can be enough to produce good
copy.
\end_layout