X-Git-Url: http://git.kpe.io/?a=blobdiff_plain;f=libctsim%2Fconvolve.cpp;fp=libctsim%2Fconvolve.cpp;h=0000000000000000000000000000000000000000;hb=44ba9ce559d2d52cbd7bbea6bcd76242840fd3eb;hp=52abd9443189c29182f7766986578edfce6d4308;hpb=595e63c804284d460ce4d032c3848b75bc57186d;p=ctsim.git

diff --git a/libctsim/convolve.cpp b/libctsim/convolve.cpp
deleted file mode 100644
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--- a/libctsim/convolve.cpp
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-/*****************************************************************************
-** FILE IDENTIFICATION
-**
-** 	Name:		Convolve.c		Convolution functions
-**	Date Started:	13 Mar 86
-**
-**  This is part of the CTSim program
-**  Copyright (C) 1983-2000 Kevin Rosenberg
-**
-**  This program is free software; you can redistribute it and/or modify
-**  it under the terms of the GNU General Public License (version 2) as
-**  published by the Free Software Foundation.
-**
-**  This program is distributed in the hope that it will be useful,
-**  but WITHOUT ANY WARRANTY; without even the implied warranty of
-**  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-**  GNU General Public License for more details.
-**
-**  You should have received a copy of the GNU General Public License
-**  along with this program; if not, write to the Free Software
-**  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
-******************************************************************************/
-
-#include "ct.h"
-
-
-/* NAME
- *    convolve			Discrete convolution of two functions
- *
- * SYNOPSIS
- *    r = convolve (f1, f2, dx, n, np, func_type)
- *    double r			Convolved result
- *    double f1[], f2[]		Functions to be convolved
- *    double dx			Difference between successive x values
- *    int n			Array index to center convolution about
- *    int np			Number of points in f1 array
- *    int func_type		EVEN or ODD or EVEN_AND_ODD function f2
- *
- * NOTES
- *    f1 is the projection data, its indices range from 0 to np - 1.
- *    The index for f2, the filter, ranges from -(np-1) to (np-1).
- *    There are 3 ways to handle the negative vertices of f2:
- *	1. If we know f2 is an EVEN function, then f2[-n] = f2[n].
- *	   All filters used in reconstruction are even.
- *      2. If we know f2 is an ODD function, then f2[-n] = -f2[n] 
- *      3. If f2 is both ODD AND EVEN, then we must store the value of f2
- *	   for negative indices.  Since f2 must range from -(np-1) to (np-1),
- *	   if we add (np - 1) to f2's array index, then f2's index will
- *	   range from 0 to 2 * (np - 1), and the origin, x = 0, will be
- *	   stored at f2[np-1].
- */
-
-double 
-convolve (const double f1[], const double f2[], const double dx, const int n, const int np, const FunctionSymmetry func_type)
-{
-  double sum = 0.0;
-
-  if (func_type == FUNC_BOTH) {
-#if UNOPTIMIZED_CONVOLUTION
-    for (int i = 0; i < np; i++)
-      sum += f1[i] * f2[n - i + (np - 1)];
-#else
-    f2 += n + (np - 1);
-    for (int i = 0; i < np; i++)
-      sum += *f1++ * *f2--;
-#endif
-  }  else if (func_type == FUNC_EVEN) {
-    for (int i = 0; i < np; i++) {
-      int k = abs (n - i);
-      sum += f1[i] * f2[k];
-    }
-  } else if (func_type == FUNC_ODD) {
-    for (int i = 0; i < np; i++) {
-      int k = n - i;
-      if (k < 0)
-	sum -= f1[i] * f2[k];
-      else
-	sum += f1[i] * f2[k];
-    }
-  } else
-    sys_error (ERR_WARNING, "Illegal function type %d [convolve]", func_type);
-
-  return (sum * dx);
-}