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