1 files changed, 17 insertions, 26 deletions
diff --git a/macros/ifftn.sci b/macros/ifftn.sci
index 6439bdc..ae9a591 100644
--- a/macros/ifftn.sci
+++ b/macros/ifftn.sci
@@ -1,30 +1,21 @@
-// Copyright (C) 2018 - IIT Bombay - FOSSEE
-// This file must be used under the terms of the CeCILL.
-// This source file is licensed as described in the file COPYING, which
-// you should have received as part of this distribution.  The terms
-// are also available at
-// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
-// Original Source : https://octave.sourceforge.io/
-// Modifieded by: Abinash Singh Under FOSSEE Internship
-// Last Modified on : 19 March 2024
-// Organization: FOSSEE, IIT Bombay
-// Email: toolbox@scilab.in
-/*Description
-    Compute the inverse N-dimensional discrete Fourier transform of A using a Fast Fourier Transform (FFT) algorithm.
-    The optional vector argument SIZE may be used specify the dimensions of the matrix to be used.
-    If an element of SIZE is smaller than the corresponding dimension of A, then the dimension of A is truncated prior to performing the inverse FFT.
-    Otherwise, if an element of SIZE is larger than the corresponding dimension then A is resized and padded with zeros.
-Calling Sequence
-     Y = ifftn(A)
-     Y = ifftn(A, size)
-Parameters
-     A: Matrix
-     SIZE : (optional) dimension of matrix to be used
-Examples
-     ifftn([2,3,4])
-     ans =
-            3.  - 0.5 - 0.2886751i  - 0.5 + 0.2886751i */
+
 function y = ifftn(A, SIZE)
+// Description
+// Compute the inverse N-dimensional discrete Fourier transform of A using a Fast Fourier Transform (FFT) algorithm.
+// The optional vector argument SIZE may be used specify the dimensions of the matrix to be used.
+// If an element of SIZE is smaller than the corresponding dimension of A, then the dimension of A is truncated prior to performing the inverse FFT.
+// Otherwise, if an element of SIZE is larger than the corresponding dimension then A is resized and padded with zeros.
+// Calling Sequence
+//  Y = ifftn(A)
+//  Y = ifftn(A, size)
+// Parameters
+//  A: Matrix
+//  SIZE : (optional) dimension of matrix to be used
+// Examples
+//  ifftn([2,3,4])
+//  ans =
+//         3.  - 0.5 - 0.2886751i  - 0.5 + 0.2886751i 
+
     funcprot(0);
     funcprot(0);
     rhs = argn(2)