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[https://projectrhea.org/rhea/images/7/7e/HW8.zip Hw8-matlabcode.rar]
 
[https://projectrhea.org/rhea/images/7/7e/HW8.zip Hw8-matlabcode.rar]
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I am not sure if you noticed but your function returns a 13x12 matrix for fmn rather than an 11x11 matrix like the original image. Although if you remove the top and bottom rows and also the first column I agree with your answer for the final image.
  
 
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Revision as of 07:45, 26 November 2011


Homework 8, ECE438, Fall 2011, Prof. Boutin

Due Wednesday November 30, 2011 (in class)


Question

Consider the following FIR filter:

$ h[m,n]: \begin{array}{cccc} & m=-1 & m=0 & m=1 \\ n=1&-\frac{1}{8} & \frac{1}{2} & -\frac{1}{8} \\ n=0&-\frac{1}{4} & 1 & -\frac{1}{4} \\ n=-1&-\frac{1}{8} & \frac{1}{2} & -\frac{1}{8} \end{array} $

a) Write a difference equation that can be used to implement this filter.

b) Is this filter separable? Answer yes/no and justify your answer.

c) Compute the CSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v).

d) What is the output image when this filter is applied to the following image (using symmetric boundary conditions)?

$ g[m,n]: \begin{array}{ccccccccccc} 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\ 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0\\ 0 & 0 & 0 & 0 & 1 & 1 & 1 & 0 & 0 & 0 & 0\\ 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 0 & 0 & 0\\ 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 0 & 0\\ 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 0\\ 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 0\\ 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 0\\ 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 0\\ 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 0\\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\ \end{array} $


Discussion

Write your questions/comments here.


I wrote a Matlab program that can check your answers. You can take it as reference but don't copy the answer directly. -Bo

Hw8-matlabcode.rar


I am not sure if you noticed but your function returns a 13x12 matrix for fmn rather than an 11x11 matrix like the original image. Although if you remove the top and bottom rows and also the first column I agree with your answer for the final image.


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