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Add detailed comments to get_candidates_fst240.f90.
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@ -244,6 +244,7 @@ contains
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endif
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endif
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enddo
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enddo
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ncand=ic
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ncand=ic
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xsnr=0.
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do icand=1,ncand
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do icand=1,ncand
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sync=candidates(icand,2)
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sync=candidates(icand,2)
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@ -351,8 +352,8 @@ contains
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iaptype=0
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iaptype=0
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qual=0.
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qual=0.
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fsig=fc_synced - 1.5*hmod*baud
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fsig=fc_synced - 1.5*hmod*baud
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write(21,'(i6,7i6,f7.1,f9.2,3f7.1,1x,a37)') &
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!write(21,'(i6,7i6,f7.1,f9.2,3f7.1,1x,a37)') &
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nutc,icand,itry,iaptype,ijitter,ntype,nsync_qual,nharderrors,dmin,sync,xsnr,xdt,fsig,msg
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! nutc,icand,itry,iaptype,ijitter,ntype,nsync_qual,nharderrors,dmin,sync,xsnr,xdt,fsig,msg
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call this%callback(nutc,smax1,nsnr,xdt,fsig,msg, &
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call this%callback(nutc,smax1,nsnr,xdt,fsig,msg, &
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iaptype,qual,ntrperiod)
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iaptype,qual,ntrperiod)
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goto 2002
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goto 2002
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@ -479,77 +480,79 @@ write(21,'(i6,7i6,f7.1,f9.2,3f7.1,1x,a37)') &
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subroutine get_candidates_fst240(c_bigfft,nfft1,nsps,hmod,fs,fa,fb, &
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subroutine get_candidates_fst240(c_bigfft,nfft1,nsps,hmod,fs,fa,fb, &
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ncand,candidates,base)
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ncand,candidates,base)
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complex c_bigfft(0:nfft1/2)
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complex c_bigfft(0:nfft1/2) !Full length FFT of raw data
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integer hmod
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integer hmod !Modulation index (submode)
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integer indx(100),im(1)
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integer im(1) !For maxloc
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real candidates(100,4)
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real candidates(100,4) !Candidate list
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real candidates0(100,4)
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real s(18000) !Low resolution power spectrum
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real snr_cand(100)
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real s2(18000) !CCF of s() with 4 tones
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real s(18000)
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real xdb(-3:3) !Model 4-tone CCF peaks
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real s2(18000)
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real xdb(-3:3)
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data xdb/0.25,0.50,0.75,1.0,0.75,0.50,0.25/
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data xdb/0.25,0.50,0.75,1.0,0.75,0.50,0.25/
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data nfft1z/-1/
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data nfft1z/-1/
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save nfft1z
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save nfft1z
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nh1=nfft1/2
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nh1=nfft1/2
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df1=fs/nfft1
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df1=fs/nfft1
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baud=fs/nsps
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baud=fs/nsps !Keying rate
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df2=baud/2.0
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df2=baud/2.0
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nd=df2/df1
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nd=df2/df1 !s() sums this many bins of big FFT
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ndh=nd/2
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ndh=nd/2
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ia=nint(max(100.0,fa)/df2)
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ia=nint(max(100.0,fa)/df2) !Low frequency search limit
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ib=nint(min(4800.0,fb)/df2)
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ib=nint(min(4800.0,fb)/df2) !High frequency limit
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signal_bw=4*(12000.0/nsps)*hmod
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signal_bw=4*(12000.0/nsps)*hmod
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analysis_bw=min(4800.0,fb)-max(100.0,fa)
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analysis_bw=min(4800.0,fb)-max(100.0,fa)
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noise_bw=10.0*signal_bw
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noise_bw=10.0*signal_bw !Is this a good compromise?
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if(analysis_bw.gt.noise_bw) then
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if(analysis_bw.gt.noise_bw) then
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ina=ia
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ina=ia
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inb=ib
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inb=ib
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else
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else
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fcenter=(fa+fb)/2.0
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fcenter=(fa+fb)/2.0 !If noise_bw > analysis_bw,
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fl = max(100.0,fcenter-noise_bw/2.)/df2
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fl = max(100.0,fcenter-noise_bw/2.)/df2 !we'll search over noise_bw
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fh = min(4800.0,fcenter+noise_bw/2.)/df2
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fh = min(4800.0,fcenter+noise_bw/2.)/df2
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ina=nint(fl)
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ina=nint(fl)
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inb=nint(fh)
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inb=nint(fh)
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endif
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endif
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s=0.
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s=0. !Compute low-resloution power spectrum
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do i=ina,inb ! noise analysis window includes signal analysis window
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do i=ina,inb ! noise analysis window includes signal analysis window
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j0=nint(i*df2/df1)
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j0=nint(i*df2/df1)
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do j=j0-ndh,j0+ndh
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do j=j0-ndh,j0+ndh
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s(i)=s(i) + real(c_bigfft(j))**2 + aimag(c_bigfft(j))**2
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s(i)=s(i) + real(c_bigfft(j))**2 + aimag(c_bigfft(j))**2
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enddo
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enddo
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enddo
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enddo
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ina=max(ina,1+3*hmod)
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ina=max(ina,1+3*hmod) !Don't run off the ends
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inb=min(inb,18000-3*hmod)
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inb=min(inb,18000-3*hmod)
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s2=0.
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s2=0.
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do i=ina,inb
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do i=ina,inb !Compute CCF of s() and 4 tones
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s2(i)=s(i-hmod*3) + s(i-hmod) +s(i+hmod) +s(i+hmod*3)
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s2(i)=s(i-hmod*3) + s(i-hmod) +s(i+hmod) +s(i+hmod*3)
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enddo
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enddo
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call pctile(s2(ina+hmod*3:inb-hmod*3),inb-ina+1-hmod*6,30,base)
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call pctile(s2(ina+hmod*3:inb-hmod*3),inb-ina+1-hmod*6,30,base)
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s2=s2/base
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s2=s2/base !Normalize wrt noise level
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thresh=1.25
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thresh=1.25 !First candidate threshold
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ncand=0
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ncand=0
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candidates=0
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candidates=0
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if(ia.lt.3) ia=3
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if(ia.lt.3) ia=3
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if(ib.gt.18000-2) ib=18000-2
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if(ib.gt.18000-2) ib=18000-2
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! Find candidates, using the CLEAN algorithm to remove a model of each one
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! from s2() after it has been found.
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pval=99.99
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pval=99.99
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do while(ncand.lt.100 .and. pval.gt.thresh)
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do while(ncand.lt.100 .and. pval.gt.thresh)
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im=maxloc(s2(ia:ib))
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im=maxloc(s2(ia:ib))
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iploc=ia+im(1)-1
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iploc=ia+im(1)-1 !Index of CCF peak
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pval=s2(iploc)
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pval=s2(iploc) !Peak value
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if(s2(iploc).gt.thresh) then
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if(s2(iploc).gt.thresh) then !Is this a possible candidate?
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do i=-3,+3
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do i=-3,+3 !Remove 0.9 of a model CCF at
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k=iploc+2*hmod*i
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k=iploc+2*hmod*i !this frequency from s2()
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if(k.ge.ia .and. k.le.ib) then
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if(k.ge.ia .and. k.le.ib) then
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s2(k)=max(0.,s2(k)-0.9*pval*xdb(i))
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s2(k)=max(0.,s2(k)-0.9*pval*xdb(i))
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endif
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endif
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enddo
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enddo
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ncand=ncand+1
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ncand=ncand+1
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candidates(ncand,1)=df2*iploc
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candidates(ncand,1)=df2*iploc !Candidate frequency
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candidates(ncand,2)=pval
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candidates(ncand,2)=pval !Rough estimate of SNR
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endif
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endif
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enddo
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enddo
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