mirror of https://github.com/saitohirga/WSJT-X.git
143 lines
3.2 KiB
Fortran
143 lines
3.2 KiB
Fortran
subroutine spec(brightness,contrast,ngain,nspeed,a,a2)
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parameter (NX=750,NY=130,NTOT=NX*NY)
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! Input:
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integer brightness,contrast !Display parameters
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integer ngain !Digital gain for input audio
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integer nspeed !Scrolling speed index
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! Output:
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integer*2 a(NTOT) !Pixel values for NX x NY array
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integer*2 a2(NTOT) !Pixel values for NX x NY array
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logical first
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integer nstep(5)
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integer hist(0:1000)
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! Could save memory by doing the averaging-by-7 (or 10?) of ss5 in symspec.
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include 'spcom.f90'
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real s(NFFT,NY),savg2(NFFT)
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include 'gcom1.f90'
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include 'gcom2.f90'
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include 'gcom3.f90'
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include 'gcom4.f90'
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data first/.true./
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data nstep/28,20,14,10,7/ !Integration limits
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save
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if(first) then
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df=96000.0/nfft
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call zero(a,NX*NY/2)
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call zero(a2,NX*NY/2)
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first=.false.
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endif
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nadd=nstep(nspeed)
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nlines=322/nadd
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call zero(s,NFFT*NY)
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k=0
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do j=1,nlines
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do n=1,nadd
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k=k+1
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do i=1,NFFT
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s(i,j)=s(i,j) + ss5(k,i)
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enddo
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enddo
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enddo
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call zero(savg2,NFFT)
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do j=1,nlines
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do i=1,NFFT
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savg2(i)=savg2(i) + s(i,j)
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enddo
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enddo
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ia=0.08*NFFT
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ib=0.92*NFFT
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smin=1.e30
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smax=-smin
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sum=0.
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nsum=0
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do i=ia,ib
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smin=min(savg2(i),smin)
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smax=max(savg2(i),smax)
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if(savg2(i).lt.10000.0) then
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sum=sum + savg2(i)
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nsum=nsum+1
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endif
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enddo
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ave=sum/nsum
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call zero(hist,1001)
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do i=ia,ib
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n=savg2(i) * (300.0/ave)
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if(n.gt.1000) n=1000
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if(n.ge.0 .and. n.le.1000) hist(n)=hist(n)+1
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enddo
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sum=0.
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do i=0,1000
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sum=sum + float(hist(i))/(ib-ia+1)
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if(sum.gt.0.4) go to 10
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enddo
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10 base=i*ave/300.0
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base=base/(nadd*nlines)
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newpts=NX*nlines
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do i=newpts+1,NX*NY
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a(i)=a(i-newpts)
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a2(i)=a2(i-newpts)
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enddo
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logmap=1
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gamma=1.3 + 0.01*contrast
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offset=(brightness+64.0)/2
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if(logmap.eq.1) then
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gain=40*sqrt(nstep(nspeed)/5.0) * 5.0**(0.01*contrast)
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offset=brightness/2 + 10
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endif
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fac=20.0/nadd
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fac=fac*0.065/base
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! fac=fac*(0.1537/base)
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foffset=0.001*(1270+nfcal)
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nbpp=(nfb-nfa)*NFFT/(96.0*NX) !Bins per pixel in wideband (upper) waterfall
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fselect=mousefqso + foffset - 1000.d0*(fcenter-144.125d0)
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imid=nint(1000.0*(fselect-125.0+48.0)/df)
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fmid=0.5*(nfa+nfb) + foffset
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imid0=nint(1000.0*(fmid-125.0+48.0)/df) - nbpp/2 !Last term is empirical
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i0=imid-375
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ii0=imid0-375*nbpp
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! if(nfullspec.eq.1) then
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! nbpp=NFFT/NX
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! ii0=0
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! endif
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k=0
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do j=nlines,1,-1 !Reverse order so last will be on top
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do i=1,NX
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k=k+1
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n=0
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x=0.
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iia=(i-1)*nbpp + ii0 + 1
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iib=i*nbpp + ii0
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do ii=iia,iib
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x=max(x,s(ii,j))
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enddo
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x=fac*x
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if(x.gt.0.0 .and. logmap.eq.0) n=(2.0*x)**gamma + offset
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if(x.gt.0.0 .and. logmap.eq.1) n=gain*log10(1.0*x) + offset
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n=min(252,max(0,n))
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a(k)=n
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! Now do the lower (zoomed) waterfall with one FFT bin per pixel.
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n=0
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x=fac*s(i0+i-1,j)
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if(x.gt.0.0 .and. logmap.eq.0) n=(3.0*x)**gamma + offset
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if(x.gt.0.0 .and. logmap.eq.1) n=1.2*gain*log10(1.0*x) + offset
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n=min(252,max(0,n))
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a2(k)=n
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enddo
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enddo
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return
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end subroutine spec
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