mirror of https://github.com/saitohirga/WSJT-X.git
Testing a new spectrum-flattening procedure, flat3.
git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@3623 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
This commit is contained in:
Joe Taylor
parent
e802968c80
commit
2928042321
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@ -0,0 +1,32 @@
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real*8 function determ(array,norder)
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implicit real*8 (a-h,o-z)
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real*8 array(10,10)
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determ=1.
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do k=1,norder
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if (array(k,k).ne.0) go to 41
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do j=k,norder
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if(array(k,j).ne.0) go to 31
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enddo
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determ=0.
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go to 60
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31 do i=k,norder
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s8=array(i,j)
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array(i,j)=array(i,k)
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array(i,k)=s8
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enddo
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determ=-1.*determ
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41 determ=determ*array(k,k)
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if(k.lt.norder) then
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k1=k+1
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do i=k1,norder
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do j=k1,norder
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array(i,j)=array(i,j)-array(i,k)*array(k,j)/array(k,k)
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enddo
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enddo
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end if
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enddo
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60 return
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end function determ
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@ -0,0 +1,74 @@
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subroutine flat3(savg0,iz,nterms,ynoise,savg)
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implicit real*8 (a-h,o-z)
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parameter (NSMAX=6827)
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real*4 savg0(iz)
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real*4 savg(iz)
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real*4 ynoise,y4
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real*8 x(NSMAX)
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real*8 y(NSMAX)
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real*8 y0(NSMAX)
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real*8 yfit(NSMAX)
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real*8 a(10)
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integer ii(NSMAX)
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npts0=999999
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df=12000.0/16384.0
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do i=1,iz
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y0(i)=db(savg0(i))
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enddo
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ia=200.0/df
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ib=4500.0/df
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j=0
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do i=ia,ib
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j=j+1
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x(j)=i*df
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y(j)=y0(i)
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ii(j)=i
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enddo
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npts=j
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mode=0
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a=0.0
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do iter=1,99
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call polfit(x,y,y,npts,nterms,mode,a,chisqr)
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! print*,iter,npts,a(1:nterms)
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rewind 21
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do i=1,ib
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f=i*df
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yfit(i)=0.0
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do n=1,nterms
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yfit(i)=yfit(i) + a(n) * f**(n-1)
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enddo
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! write(21,1010) f,y0(i),yfit(i),y0(i)-yfit(i)
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!1010 format(4f12.3)
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enddo
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k=0
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do j=1,npts
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y1=y(j)-yfit(ii(j))
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if(y1.lt.ynoise) then
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k=k+1
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x(k)=x(j)
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y(k)=y(j)
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ii(k)=ii(j)
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endif
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enddo
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npts=k
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if(npts.eq.npts0 .or. npts.lt.(ib-ia)/10) exit
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npts0=npts
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enddo
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! do j=1,npts
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! write(22,1010) x(j),y(j),yfit(ii(j)),y(j)-yfit(ii(j))
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! enddo
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do i=1,ib
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y4=y0(i)-yfit(i)
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savg(i)=10.0**(0.1*y4)
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enddo
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end subroutine flat3
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@ -0,0 +1,72 @@
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subroutine polfit(x,y,sigmay,npts,nterms,mode,a,chisqr)
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implicit real*8 (a-h,o-z)
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real*8 x(npts), y(npts), sigmay(npts), a(nterms)
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real*8 sumx(19), sumy(10), array(10,10)
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! Accumulate weighted sums
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nmax = 2*nterms-1
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sumx=0.
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sumy=0.
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chisq=0.
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do i=1,npts
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xi=x(i)
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yi=y(i)
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if(mode.lt.0) then
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weight=1./abs(yi)
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else if(mode.eq.0) then
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weight=1
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else
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weight=1./sigmay(i)**2
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end if
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xterm=weight
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do n=1,nmax
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sumx(n)=sumx(n)+xterm
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xterm=xterm*xi
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enddo
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yterm=weight*yi
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do n=1,nterms
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sumy(n)=sumy(n)+yterm
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yterm=yterm*xi
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enddo
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chisq=chisq+weight*yi**2
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enddo
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! Construct matrices and calculate coefficients
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do j=1,nterms
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do k=1,nterms
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n=j+k-1
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array(j,k)=sumx(n)
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enddo
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enddo
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delta=determ(array,nterms)
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if(delta.eq.0) then
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chisqr=0.
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a=0.
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else
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do l=1,nterms
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do j=1,nterms
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do k=1,nterms
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n=j+k-1
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array(j,k)=sumx(n)
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enddo
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array(j,l)=sumy(j)
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enddo
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a(l)=determ(array,nterms)/delta
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enddo
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! Calculate chi square
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do j=1,nterms
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chisq=chisq-2*a(j)*sumy(j)
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do k=1,nterms
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n=j+k-1
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chisq=chisq+a(j)*a(k)*sumx(n)
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enddo
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enddo
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free=npts-nterms
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chisqr=chisq/free
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end if
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return
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end subroutine polfit
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@ -40,7 +40,8 @@ subroutine symspec(k,ntrperiod,nsps,ingain,slope,pxdb,s,df3,ihsym,npts8)
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go to 900 !Wait for enough samples to start
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endif
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if(nfft3.ne.nfft3z .or. slope.ne.slope0) then !New nfft3, compute window
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if(nfft3.ne.nfft3z .or. (slope.ne.slope0 .and. abs(slope+0.1).gt.0.05)) then
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! Compute new window and adjust scale factor
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pi=4.0*atan(1.0)
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do i=1,nfft3
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w3(i)=2.0*(sin(i*pi/nfft3))**2 !Window for nfft3 spectrum
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@ -103,10 +104,14 @@ subroutine symspec(k,ntrperiod,nsps,ingain,slope,pxdb,s,df3,ihsym,npts8)
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s(i)=gain*sx
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enddo
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! s=0.05*s/ref
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s=scale*s
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savg=scale*ssum/ihsym
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if(abs(slope+0.1).lt.0.01) then
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call flat3(s,iz,3,1.0,s)
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call flat3(savg,iz,3,1.0,savg)
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endif
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900 npts8=k/8
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return
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