Edits to description of KV/FT comparison.

git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@6356 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
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Steven Franke 2016-01-06 05:03:04 +00:00
parent b52e099326
commit ea4fe95151
1 changed files with 25 additions and 1 deletions

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@ -1595,7 +1595,15 @@ sync losses
\begin_layout Standard
As expected, the soft-decision algorithms, FT and KV, are about 2 dB better
than the hard-decision BM algorithm.
In addition, FT has a slight edge (about 0.2 dB) over KV.
In addition, FT has an edge over KV that increases from
\begin_inset Formula $\sim0.2$
\end_inset
dB at higher SNRs to
\begin_inset Formula $\sim0.5$
\end_inset
dB at low SNR.
On the other hand, the execution time for FT with timeout parameter
\begin_inset Formula $T=10^{5}$
\end_inset
@ -1725,6 +1733,22 @@ reference "fig:bodide"
\end_inset
or larger.
As already noted in connection with Figure
\begin_inset CommandInset ref
LatexCommand ref
reference "fig:bodide"
\end_inset
, FT with
\begin_inset Formula $T=10^{5}$
\end_inset
has approximately
\begin_inset Formula $0.5$
\end_inset
dB gain over KV at low SNR.
It also provides a very significant gain over the hard-decision BM decoder
even when limited to 10 or fewer trials.
\end_layout