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https://github.com/saitohirga/WSJT-X.git
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206 lines
6.1 KiB
Fortran
206 lines
6.1 KiB
Fortran
program ldpcsim204
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! End-to-end test of the (300,60)/crc10 encoder and decoders.
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use crc
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use packjt
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parameter(NRECENT=10)
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character*12 recent_calls(NRECENT)
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character*8 arg
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character*68 cmsg
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character*14 c14
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integer*1, allocatable :: codeword(:), decoded(:), message(:)
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integer*1, target:: i1Msg8BitBytes(9)
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integer*1, target:: i1Dec8BitBytes(9)
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integer*1 msgbits(68)
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integer*1 apmask(204)
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integer*1 cw(204)
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integer*2 ncrc14,nrcrc14
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integer colorder(204)
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integer nerrtot(204),nerrdec(204),nmpcbad(68)
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logical checksumok,fsk,bpsk
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real*8, allocatable :: rxdata(:)
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real, allocatable :: llr(:)
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real dllr(204),llrd(204)
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data colorder/ &
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0, 1, 2, 3, 4, 5, 47, 6, 7, 8, 9, 10, 11, 12, 58, 55, 13, &
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14, 15, 46, 17, 18, 60, 19, 20, 21, 22, 23, 24, 25, 57, 26, 27, 49, &
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28, 52, 65, 16, 50, 73, 59, 68, 63, 29, 30, 31, 32, 51, 62, 56, 66, &
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45, 33, 34, 53, 67, 35, 36, 37, 61, 69, 54, 38, 71, 82, 39, 77, 80, &
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83, 78, 84, 48, 41, 85, 40, 64, 75, 96, 74, 72, 76, 86, 87, 89, 90, &
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79, 70, 92, 99, 93,101, 95,100, 97, 94, 42, 98,103,105,102, 43,104, &
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88, 44,106, 81,107,110,108,111,112,109,113,114,117,118,116,121,115, &
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119,122,120,125,129,124,127,126,128, 91,123,133,131,130,134,135,137, &
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136,132,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152, &
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153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169, &
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170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186, &
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187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203/
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data cmsg/'11111111000000001111111100000000111111110000000011000000000000000000'/
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do i=1,NRECENT
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recent_calls(i)=' '
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enddo
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nerrtot=0
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nerrdec=0
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nmpcbad=0 ! Used to collect the number of errors in the message+crc part of the codeword
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nargs=iargc()
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if(nargs.ne.4) then
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print*,'Usage: ldpcsim niter ndeep #trials s '
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print*,'eg: ldpcsim 100 4 1000 0.84'
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print*,'If s is negative, then value is ignored and sigma is calculated from SNR.'
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return
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endif
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call getarg(1,arg)
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read(arg,*) max_iterations
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call getarg(2,arg)
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read(arg,*) ndeep
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call getarg(3,arg)
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read(arg,*) ntrials
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call getarg(4,arg)
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read(arg,*) s
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fsk=.false.
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bpsk=.true.
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N=204
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K=68
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rate=real(K)/real(N)
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write(*,*) "rate: ",rate
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write(*,*) "niter= ",max_iterations," s= ",s
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allocate ( codeword(N), decoded(K), message(K) )
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allocate ( rxdata(N), llr(N) )
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read(cmsg,'(68i1)') msgbits
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call get_crc14(msgbits,ncrcsf)
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write(c14,'(b14.14)') ncrcsf
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read(c14,'(14i1)') msgbits(55:68)
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write(*,*) 'message'
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write(*,'(9(8i1,1x))') msgbits
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call encode204(msgbits,codeword)
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call init_random_seed()
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call sgran()
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write(*,*) 'codeword'
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write(*,'(204i1)') codeword
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write(*,*) "Eb/N0 SNR2500 ngood nundetected nbadcrc sigma"
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do idb = 10,-10,-1
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!do idb = 2, 2, -1
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db=idb/2.0-1.0
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sigma=1/sqrt( 2*rate*(10**(db/10.0)) ) ! to make db represent Eb/No
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! sigma=1/sqrt( 2*(10**(db/10.0)) ) ! db represents Es/No
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ngood=0
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nue=0
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nbadcrc=0
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nberr=0
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do itrial=1, ntrials
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! Create a realization of a noisy received word
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do i=1,N
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if( bpsk ) then
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rxdata(i) = 2.0*codeword(i)-1.0 + sigma*gran()
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elseif( fsk ) then
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if( codeword(i) .eq. 1 ) then
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r1=(1.0 + sigma*gran())**2 + (sigma*gran())**2
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r2=(sigma*gran())**2 + (sigma*gran())**2
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elseif( codeword(i) .eq. 0 ) then
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r2=(1.0 + sigma*gran())**2 + (sigma*gran())**2
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r1=(sigma*gran())**2 + (sigma*gran())**2
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endif
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rxdata(i)=0.35*(sqrt(r1)-sqrt(r2))
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! rxdata(i)=0.35*(exp(r1)-exp(r2))
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! rxdata(i)=0.12*(log(r1)-log(r2))
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endif
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enddo
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nerr=0
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do i=1,N
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if( rxdata(i)*(2*codeword(i)-1.0) .lt. 0 ) nerr=nerr+1
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enddo
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if(nerr.ge.1) nerrtot(nerr)=nerrtot(nerr)+1
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nberr=nberr+nerr
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rxav=sum(rxdata)/N
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rx2av=sum(rxdata*rxdata)/N
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rxsig=sqrt(rx2av-rxav*rxav)
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rxdata=rxdata/rxsig
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! To match the metric to the channel, s should be set to the noise standard deviation.
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! For now, set s to the value that optimizes decode probability near threshold.
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! The s parameter can be tuned to trade a few tenth's dB of threshold for an order of
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! magnitude in UER
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if( s .lt. 0 ) then
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ss=sigma
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else
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ss=s
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endif
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llr=2.0*rxdata/(ss*ss)
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apmask=0
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! max_iterations is max number of belief propagation iterations
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call bpdecode204(llr,apmask,max_iterations,decoded,cw,nharderror,niterations)
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if(nharderror.lt.0) niterations=-1
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if( (nharderror .lt. 0) .and. (ndeep .ge. 0) ) then
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call osd204(llr, apmask, ndeep, decoded, cw, nhardmin, dmin)
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niterations=nhardmin
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endif
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n2err=0
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do i=1,N
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if( cw(i)*(2*codeword(i)-1.0) .lt. 0 ) n2err=n2err+1
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enddo
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! If the decoder finds a valid codeword, niterations will be .ge. 0.
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if( niterations .ge. 0 ) then
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call get_crc14(decoded,ncheck)
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ncrcflag=0
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if(ncheck.eq.0) ncrcflag=1
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if( ncrcflag .ne. 1 ) then
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nbadcrc=nbadcrc+1
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endif
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nueflag=0
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nerrmpc=0
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do i=1,K ! find number of errors in message+crc part of codeword
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if( msgbits(i) .ne. decoded(i) ) then
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if(ncrcflag.eq.1) nueflag=1
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nerrmpc=nerrmpc+1
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endif
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enddo
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if(nerrmpc.ge.1) nmpcbad(nerrmpc)=nmpcbad(nerrmpc)+1 ! This histogram should inform our selection of CRC poly
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if( ncrcflag .eq. 1 .and. nueflag .eq. 0 ) then
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ngood=ngood+1
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if(nerr.ge.1) nerrdec(nerr)=nerrdec(nerr)+1
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else if( ncrcflag .eq. 1 .and. nueflag .eq. 1 ) then
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nue=nue+1;
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endif
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endif
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enddo
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snr2500=db+10*log10(200.0/116.0/2500.0)
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pberr=real(nberr)/(real(ntrials*N))
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write(*,"(f4.1,4x,f5.1,1x,i8,1x,i8,1x,i8,8x,f5.2,8x,e10.3)") db,snr2500,ngood,nue,nbadcrc,ss,pberr
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enddo
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open(unit=23,file='nerrhisto.dat',status='unknown')
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do i=1,120
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write(23,'(i4,2x,i10,i10,f10.2)') i,nerrdec(i),nerrtot(i),real(nerrdec(i))/real(nerrtot(i)+1e-10)
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enddo
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close(23)
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open(unit=25,file='nmpcbad.dat',status='unknown')
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do i=1,68
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write(25,'(i4,2x,i10)') i,nmpcbad(i)
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enddo
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close(25)
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end program ldpcsim204
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