--- a
+++ b/featurebased-approach/subfunctions/lib/DFA/DFA.m
@@ -0,0 +1,54 @@
+function output1=DFA(DATA,win_length,order)
+%Copyright (c) 2009, Guan Wenye
+%All rights reserved.
+%
+%Redistribution and use in source and binary forms, with or without
+%modification, are permitted provided that the following conditions are
+%met:
+%
+%    * Redistributions of source code must retain the above copyright
+%      notice, this list of conditions and the following disclaimer.
+%    * Redistributions in binary form must reproduce the above copyright
+%      notice, this list of conditions and the following disclaimer in
+%      the documentation and/or other materials provided with the distribution
+%
+%THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+%AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+%IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+%ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+%LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+%CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+%SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+%INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+%CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+%ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+%POSSIBILITY OF SUCH DAMAGE.
+
+
+
+      
+       N=length(DATA);   
+       n=floor(N/win_length);
+       N1=n*win_length;
+       y=zeros(N1,1);
+       Yn=zeros(N1,1);
+       
+       fitcoef=zeros(n,order+1);
+            mean1=mean(DATA(1:N1));
+       for i=1:N1
+                
+                y(i)=sum(DATA(1:i)-mean1);
+            end
+            y=y';
+            for j=1:n
+                fitcoef(j,:)=polyfit(1:win_length,y(((j-1)*win_length+1):j*win_length),order);
+            end
+            
+            for j=1:n
+                Yn(((j-1)*win_length+1):j*win_length)=polyval(fitcoef(j,:),1:win_length);
+            end
+            
+            sum1=sum((y'-Yn).^2)/N1;
+            sum1=sqrt(sum1);
+            output1=sum1;
+