2015-02-10 19:50:35 -05:00
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subroutine flat4(s,npts,nflatten)
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! Flatten a spectrum for optimum display
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! Input: s(npts) Linear scale in power
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! nflatten If nflatten=0, convert to dB but do not flatten
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! Output: s(npts) Flattened, with dB scale
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implicit real*8 (a-h,o-z)
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real*4 s(6827)
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real*4 base
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real*8 x(1000),y(1000),a(5)
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data nseg/10/,npct/10/
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if(s(1).gt.1.e29) go to 900 !Boundary between Rx intervals: do nothing
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do i=1,npts
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s(i)=10.0*log10(s(i)) !Convert to dB scale
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enddo
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if(nflatten.eq.0) go to 900
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nlen=npts/nseg !Length of test segment
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i0=npts/2 !Midpoint
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k=0
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do n=2,nseg !Skip first segment, likely rolloff here
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ib=n*nlen
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ia=ib-nlen+1
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if(n.eq.nseg) ib=npts
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call pctile(s(ia),ib-ia+1,npct,base) !Find lowest npct of points in segment
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do i=ia,ib
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if(s(i).le.base) then
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2015-02-15 14:20:11 -05:00
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if (k.lt.1000) k=k+1 !Save these "lower envelope" points
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2015-02-10 19:50:35 -05:00
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x(k)=i-i0
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y(k)=s(i)
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endif
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enddo
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enddo
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kz=k
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a=0.
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nterms=3
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call polfit(x,y,y,kz,nterms,0,a,chisqr) !Fit a low-order polynomial
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do i=1,npts
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t=i-i0
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yfit=a(1)+t*(a(2)+t*(a(3)+t*(a(4)+t*(a(5)))))
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s(i)=s(i)-yfit !Subtract the fitted baseline
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enddo
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900 return
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end subroutine flat4
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