formated source documentation pattern for generating docs

1 files changed, 2 insertions, 4 deletions

diff --git a/macros/schurrc.sci b/macros/schurrc.sci
index 98448d6..f3d3685 100644
--- a/macros/schurrc.sci
+++ b/macros/schurrc.sci
@@ -1,15 +1,14 @@
-//schurrc - Schur algorithm.
+function [k,e] = schurrc(R)
+    //schurrc - Schur algorithm.
 //K = SCHURRC(R) computes the reflection coefficients from autocorrelation vector R. If R is a matrix, SCHURRC finds coefficients for each column of R, and returns them in the columns of K.
 //[K,E] = SCHURRC(R) returns the prediction error variance E. If R is a matrix, SCHURRC finds the error for each column of R, and returns them in the rows of E.
 //Modified to match matlab i/p and o/p and handle exceptions
 //Fixed bugs
 //by Debdeep Dey
-
 //////EXAMPLES:
 //m=linspace(1,100);
 //r = xcorr(m(1:5),'unbiased');.......autocorrelation vector
 //[k,e] = schurrc(r(5:$))
-
 //EXPECTED OUTPUT
 //e  =1.6212406
  //k  = - 0.9090909  0.2222222  0.2244898  0.2434211
@@ -17,7 +16,6 @@
 
 
 
-function [k,e] = schurrc(R)
     narginchk(1,1,argn(2));
 if(type(R)==10) then// R is a matrix of character strings
     w=R;