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=  Video Tutorial on Convolution  =
 
=  Video Tutorial on Convolution  =
  
Video is still being worked on, thanks for your patience.
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Video is still being worked on, thanks for your patience.  
  
 
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In the meantime, I found this gif online and it helps me visualize the graphical approach to convolution.  
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In the meantime, I found this gif online and it helps me visualize the graphical approach to convolution. &nbsp;If you really want to play around with this concept I have also found a sample MATLAB code which can be a little fun to tweak.
  
[[Image:Convolution_of_box_signal_with_itself2.gif]]
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[[Image:Convolution of box signal with itself2.gif]]  
  
 
Here you can see that the value of the convolution at a point, t, is the area shared by the two graphs when one is centered at the origin and the other at t. One subtlety that is lost here is that one the signal being moved is flipped. Since it is symmetric it looks the same. &nbsp;If you look at the equation for convolution&nbsp;<br> --[[User:Ssanthak|Ssanthak]] 23:03, 5 May 2011 (UTC)
 
Here you can see that the value of the convolution at a point, t, is the area shared by the two graphs when one is centered at the origin and the other at t. One subtlety that is lost here is that one the signal being moved is flipped. Since it is symmetric it looks the same. &nbsp;If you look at the equation for convolution&nbsp;<br> --[[User:Ssanthak|Ssanthak]] 23:03, 5 May 2011 (UTC)

Revision as of 18:15, 5 May 2011

 Video Tutorial on Convolution

Video is still being worked on, thanks for your patience.


In the meantime, I found this gif online and it helps me visualize the graphical approach to convolution.  If you really want to play around with this concept I have also found a sample MATLAB code which can be a little fun to tweak.

Convolution of box signal with itself2.gif

Here you can see that the value of the convolution at a point, t, is the area shared by the two graphs when one is centered at the origin and the other at t. One subtlety that is lost here is that one the signal being moved is flipped. Since it is symmetric it looks the same.  If you look at the equation for convolution 
--Ssanthak 23:03, 5 May 2011 (UTC)

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010