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[jabaws.git] / website / archive / binaries / mac / src / disembl / Tisean_3.0.1 / source_f / addnoise.f

diff --git a/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_f/addnoise.f b/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_f/addnoise.f
deleted file mode 100644 (file)
index e269327..0000000
--- a/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_f/addnoise.f
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-c===========================================================================
-c
-c   This file is part of TISEAN
-c 
-c   Copyright (c) 1998-2007 Rainer Hegger, Holger Kantz, Thomas Schreiber
-c 
-c   TISEAN is free software; you can redistribute it and/or modify
-c   it under the terms of the GNU General Public License as published by
-c   the Free Software Foundation; either version 2 of the License, or
-c   (at your option) any later version.
-c
-c   TISEAN is distributed in the hope that it will be useful,
-c   but WITHOUT ANY WARRANTY; without even the implied warranty of
-c   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-c   GNU General Public License for more details.
-c
-c   You should have received a copy of the GNU General Public License
-c   along with TISEAN; if not, write to the Free Software
-c   Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
-c
-c===========================================================================
-c   addnoise.f
-c
-c   add Gaussian / uniform white noise
-c   author T. Schreiber (1998)
-c===========================================================================
-
-      parameter(nx=1000000)
-      character*72 file, fout
-      dimension x(nx)
-      external rand
-      data eps/0./, frac/0./, iuni/0/
-      data iverb/1/
-
-      call whatido("add Gaussian/uniform noise",iverb)
-      eps=fcan("r",eps)
-      frac=fcan("v",frac)
-      nmaxx=ican("l",nx)
-      nexcl=ican("x",0)
-      jcol=ican("c",0)
-      if(lopt("u",1).eq.1) iuni=1
-      isout=igetout(fout,iverb)
-      if(eps.eq.0.and.frac.eq.0.) call usage()
-
-      if(lopt("0",1).eq.1.and.eps.gt.0) then
-         if(isout.eq.1) fout="0_noisy"
-         do 10 n=1,nmaxx
-            if(iuni.eq.1) then
-               x(n)=rand(0.0)*eps
-            else
-               x(n)=rgauss(0.0,eps)
-            endif
- 10         continue
-         call writefile(nmaxx,x,fout,iverb)
-         stop
-      endif
- 
-      do 20 ifi=1,nstrings()
-         call nthstring(ifi,file)
-         nmax=nmaxx
-         call readfile(nmax,x,nexcl,jcol,file,iverb)
-         if(file.eq."-") file="stdin"
-         call rms(nmax,x,sc,sd)
-         if(frac.gt.0) eps=sd*frac
-         if(iuni.eq.1) then
-            if(iv_io(iverb).eq.1) write(istderr(),*) 
-     .      "adding uniform noise in [0,", eps,"]"
-         else
-            if(iv_io(iverb).eq.1) write(istderr(),*)  
-     .      "adding Gaussian noise of amplitude", eps
-         endif
-         if(sd.gt.0.and.iv_io(iverb).eq.1) write(istderr(),*)  
-     .      "that is",eps/sd,"* rms of data"
-         do 30 n=1,nmax
-            if(iuni.eq.1) then
-               x(n)=x(n)+rand(0.0)*eps
-            else
-               x(n)=x(n)+rgauss(0.0,eps)
-            endif
- 30         continue
-         if(isout.eq.1) call addsuff(fout,file,"_noisy")
- 20      call writefile(nmax,x,fout,iverb)
-      end
-
-      subroutine usage()
-c usage message
-
-      call whatineed(
-     .   "[-r# | -v#] [-u -0 -o outfile -l# -x# -c# -V# -h] file(s)")
-      call ptext("either -r or -v must be present")
-      call popt("r","absolute noise level")
-      call popt("v","same as fraction of standard deviation")
-      call popt("u","add uniform noise (default Gaussian)")
-      call popt("0","do not read input, just issue random numbers")
-      call popt("l","number of values to be read (all)")
-      call popt("x","number of values to be skipped (0)")
-      call popt("c","column to be read (1 or file,#)")
-      call pout("file_noisy")
-      call pall()
-      stop
-      end
-