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Add discussion of sync losses.
git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@6318 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
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@ -1,8 +1,8 @@
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-24.5 0.000
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-24.0 0.006
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-23.5 0.046
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-23.0 0.250
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-22.5 0.630
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-22.0 0.900
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-21.5 0.992
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-23.5 0.046 0.066
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-23.0 0.250 0.305
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-22.5 0.630 0.701
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-22.0 0.900 0.945
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-21.5 0.992 0.9974
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-21.0 0.99987
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@ -899,7 +899,7 @@ In practice we find that
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\begin_inset Formula $p_{1}$
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\end_inset
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and
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and
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\begin_inset Formula $p_{2}$
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\end_inset
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@ -1246,9 +1246,36 @@ reference "fig:bodide"
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also shows theoretical results (filled squares) for comparison with the
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BM results.
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The simulated BM results agree with theory to within about 0.1 dB.
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As expected, the soft-decision algorithms FT and KV are about 2 dB better
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This difference between simulated BM results and theory is caused by small
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errors in the estimates of time- and frequency-offset of the received signal
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in the simulated results.
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Such
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\begin_inset Quotes eld
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\end_inset
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sync losses
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\begin_inset Quotes erd
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\end_inset
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are not accounted for in the idealized theoretical results.
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\end_layout
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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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On the other hand, the execution time for FT with
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\begin_inset Formula $T=10^{5}$
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\end_inset
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is longer than the execution time for the KV algorithm.
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Nevertheless, the execution time required for the FT algorithm with
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\begin_inset Formula $T=10^{5}$
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\end_inset
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is small enough to be practical on most computers.
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\end_layout
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\begin_layout Standard
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