Correct Simulation Results & Conclusion, round 1
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@ -743,7 +743,7 @@ The gain varies significantly
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with the SNR (which is to be expected, since with higher SNR values the number
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with the SNR (which is to be expected, since with higher SNR values the number
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of bit errors decreases, making the correction of those errors in the
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of bit errors decreases, making the correction of those errors in the
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``ML-in-the-list'' step more likely).
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``ML-in-the-list'' step more likely).
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For an FER of $10^{-6}$ the gain is approximately $\SI{1}{dB}$.
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For an FER of $10^{-6}$, the gain is approximately $\SI{1}{dB}$.
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Similar behavior can be observed with various other codes.
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Similar behavior can be observed with various other codes.
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No immediate relationship between the code length and the gain was observed
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No immediate relationship between the code length and the gain was observed
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during our examinations.
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during our examinations.
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@ -758,7 +758,7 @@ from only a few components of the estimate being wrong.
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These few erroneous components can mostly be corrected by appending an
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These few erroneous components can mostly be corrected by appending an
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additional step to the original algorithm that is only executed if the
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additional step to the original algorithm that is only executed if the
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algorithm has not converged.
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algorithm has not converged.
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A gain of up to $\sim\SI{1}{dB}$ can be observed, depending on the code,
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A gain of up to $\SI{1}{dB}$ can be observed, depending on the code,
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the parameters considered, and the SNR.
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the parameters considered, and the SNR.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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