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Some more work on code comparisons.
git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@6454 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
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@ -33,9 +33,10 @@ program JTMSKfer
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bias=0.0
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scale=20.0
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xln2=log(2.0)
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mettab=0
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do i=128,156
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x0=log(max(0.0001,2.0*xp(i-127)))/xln2
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x1=log(max(0.001,2.0*(1.0-xp(i-127))))/xln2
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x0=log(max(0.001,2.0*xp(i-127)))/xln2
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x1=log(max(0.001,2.0*(1-xp(i-127))))/xln2
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mettab(i,0)=nint(scale*(x0-bias))
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mettab(i,1)=nint(scale*(x1-bias))
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mettab(256-i,0)=mettab(i,1)
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@ -48,7 +49,7 @@ program JTMSKfer
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mettab(256-i,1)=mettab(i,0)
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enddo
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rdscale=2.0 ! empirically optimized
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rdscale=2.0
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ntrials=1000000
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rate=72.0/198.0
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msg="123"
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@ -67,7 +68,7 @@ program JTMSKfer
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! call sgran()
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do idb=0,11
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do idb=6,11
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db=idb/2.0-0.5 ! Eb/N0=1/(2*R*sigma^2), so sigma= sqrt( 1/(2*R*Eb/N0) )
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sigma=1/sqrt( 2*rate*(10**(db/10.0)) )
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