mirror of
https://github.com/saitohirga/WSJT-X.git
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2636c849bf
git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@7601 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
220 lines
6.1 KiB
Fortran
220 lines
6.1 KiB
Fortran
subroutine msk144signalquality(cframe,snr,freq,t0,softbits,msg,dxcall, &
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btrain,datadir,nbiterrors,eyeopening,pcoeffs)
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character*22 msg,msgsent
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character*12 dxcall
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character*12 training_dxcall
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character*12 trained_dxcall
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character*6 mygrid
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character*512 pcoeff_filename
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character*8 date
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character*10 time
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character*5 zone
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character*512 datadir
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complex cframe(864)
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complex cross(864)
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complex cross_avg(864)
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complex canalytic(1024)
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complex cmodel(1024)
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integer i4tone(144)
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integer hardbits(144)
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integer msgbits(144)
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integer values(8)
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logical*1 bcontest
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logical*1 btrain
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logical*1 first
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logical*1 currently_training
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logical*1 msg_has_dxcall
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logical*1 is_training_frame
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real softbits(144)
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real waveform(0:863)
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real d(1024)
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real phase(864)
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real twopi,freq,phi,dphi0,dphi1,dphi
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real*8 x(145),y(145),pp(145),sigmay(145),a(5),chisqr
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real*8 pcoeffs(5)
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parameter (NFREQLOW=500,NFREQHIGH=2500)
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data first/.true./
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save cross_avg,wt_avg,first,currently_training, &
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navg,tlast,training_dxcall,trained_dxcall
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if (first) then
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navg=0
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cross=cmplx(0.0,0.0)
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cross_avg=cmplx(0.0,0.0)
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wt_avg=0.0
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tlast=0.0
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trained_dxcall(1:12)=' '
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training_dxcall(1:12)=' '
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currently_training=.false.
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first=.false.
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endif
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if( (currently_training .and. (dxcall .ne. training_dxcall)) .or. &
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(navg .gt. 10 )) then !reset and retrain
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navg=0
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cross=cmplx(0.0,0.0)
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cross_avg=cmplx(0.0,0.0)
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wt_avg=0.0
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tlast=0.0
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trained_dxcall(1:12)=' '
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currently_training=.false.
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training_dxcall(1:12)=' '
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trained_dxcall(1:12)=' '
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write(*,*) 'reset to untrained state '
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endif
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indx_dxcall=index(msg,trim(dxcall))
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msg_has_dxcall = indx_dxcall .ge. 4
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if( btrain .and. msg_has_dxcall .and. (.not. currently_training) ) then
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currently_training=.true.
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training_dxcall=trim(dxcall)
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trained_dxcall(1:12)=' '
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write(*,*) 'start training on call ',training_dxcall
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endif
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if( msg_has_dxcall .and. currently_training ) then
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trained_dxcall(1:12)=' '
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training_dxcall=dxcall
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endif
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! use decoded message to figure out how many bit errors in the frame
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do i=1, 144
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hardbits(i)=0
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if(softbits(i) .gt. 0 ) hardbits(i)=1
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enddo
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! generate tones from decoded message
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mygrid="EN50"
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ichk=0
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bcontest=.false.
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call genmsk144(msg,mygrid,ichk,bcontest,msgsent,i4tone,itype)
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! reconstruct message bits from tones
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msgbits(1)=0
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do i=1,143
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if( i4tone(i) .eq. 0 ) then
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if( mod(i,2) .eq. 1 ) then
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msgbits(i+1)=msgbits(i)
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else
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msgbits(i+1)=mod(msgbits(i)+1,2)
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endif
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else
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if( mod(i,2) .eq. 1 ) then
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msgbits(i+1)=mod(msgbits(i)+1,2)
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else
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msgbits(i+1)=msgbits(i)
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endif
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endif
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enddo
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nbiterrors=0
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do i=1,144
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if( hardbits(i) .ne. msgbits(i) ) nbiterrors=nbiterrors+1
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enddo
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nplus=0
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nminus=0
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eyetop=1
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eyebot=-1
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do i=1,144
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if( msgbits(i) .eq. 1 ) then
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if( softbits(i) .lt. eyetop ) eyetop=softbits(i)
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else
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if( softbits(i) .gt. eyebot ) eyebot=softbits(i)
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endif
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enddo
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eyeopening=eyetop-eyebot
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is_training_frame = &
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(snr.gt.5.0 .and.(nbiterrors.lt.7)) .and. &
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(abs(t0-tlast) .gt. 0.072) .and. &
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msg_has_dxcall
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if( currently_training .and. is_training_frame ) then
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twopi=8.0*atan(1.0)
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nsym=144
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if( i4tone(41) .lt. 0 ) nsym=40
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dphi0=twopi*(freq-500)/12000.0
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dphi1=twopi*(freq+500)/12000.0
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phi=-twopi/8
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indx=0
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do i=1,nsym
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if( i4tone(i) .eq. 0 ) then
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dphi=dphi0
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else
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dphi=dphi1
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endif
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do j=1,6
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waveform(indx)=cos(phi);
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indx=indx+1
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phi=mod(phi+dphi,twopi)
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enddo
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enddo
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! convert the passband waveform to complex baseband
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npts=864
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nfft=1024
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d=0
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d(1:864)=waveform(0:863)
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call analytic(d,npts,nfft,canalytic,pcoeffs,.false.) ! don't equalize the model
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call tweak1(canalytic,nfft,-freq,cmodel)
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call four2a(cframe(1:864),864,1,-1,1)
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call four2a(cmodel(1:864),864,1,-1,1)
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! Cross spectra from different messages can be averaged
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! as long as all messages originate from dxcall.
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cross=cmodel(1:864)*conjg(cframe)/1000.0
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cross=cshift(cross,864/2)
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cross_avg=cross_avg+10**(snr/20.0)*cross
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wt_avg=wt_avg+10**(snr/20.0)
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navg=navg+1
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tlast=t0
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phase=atan2(imag(cross_avg),real(cross_avg))
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df=12000.0/864.0
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nm=145
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do i=1,145
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x(i)=(i-73)*df/1000.0
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enddo
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y=phase((864/2-nm/2):(864/2+nm/2))
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sigmay=wt_avg/abs(cross_avg((864/2-nm/2):(864/2+nm/2)))
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mode=1
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npts=145
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nterms=5
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call polyfit(x,y,sigmay,npts,nterms,mode,a,chisqr)
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pp=a(1)+x*(a(2)+x*(a(3)+x*(a(4)+x*a(5))))
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rmsdiff=sum( (pp-phase((864/2-nm/2):(864/2+nm/2)))**2 )/145.0
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write(*,*) 'training ',navg,sqrt(chisqr),rmsdiff
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if( (sqrt(chisqr).lt.1.8) .and. (rmsdiff.lt.0.5) .and. (navg.ge.5) ) then
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trained_dxcall=dxcall
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call date_and_time(date,time,zone,values)
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write(pcoeff_filename,'(i2.2,i2.2,i2.2,"_",i2.2,i2.2,i2.2)') &
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values(1)-2000,values(2),values(3),values(5),values(6),values(7)
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pcoeff_filename=trim(trained_dxcall)//"_"//trim(pcoeff_filename)//".pcoeff"
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l1=index(datadir,char(0))-1
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datadir(l1+1:l1+1)="/"
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pcoeff_filename=datadir(1:l1+1)//trim(pcoeff_filename)
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write(*,*) 'trained - writing coefficients to: ',pcoeff_filename
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open(17,file=pcoeff_filename,status='new')
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write(17,'(i4,2f10.2,3i5,5e25.16)') navg,sqrt(chisqr),rmsdiff,NFREQLOW,NFREQHIGH,nterms,a
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do i=1, 145
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write(17,*) x(i),pp(i),y(i),sigmay(i)
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enddo
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do i=1,864
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write(17,*) i,real(cframe(i)),imag(cframe(i)),real(cross_avg(i)),imag(cross_avg(i))
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enddo
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close(17)
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training_dxcall(1:12)=' '
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currently_training=.false.
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btrain=.false.
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navg=0
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endif
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endif
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return
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end subroutine msk144signalquality
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