(Part A)
 
(One intermediate revision by the same user not shown)
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===Part A===
 
If we use the same procedure as we did in HW2D then we will find out it is not time variant. The we get
 
If we use the same procedure as we did in HW2D then we will find out it is not time variant. The we get
  
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<math>\,\ z(t) = (k+1+no)^2 \delta[(n-no)-(k + 1)]</math>
 
<math>\,\ z(t) = (k+1+no)^2 \delta[(n-no)-(k + 1)]</math>
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===Part B===
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If we set k = 0 then the answer seems easier to get
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i.e. <math>\,\ \delta(n - 1) </math> and now <math>\,\ X[n] = u(n)</math>

Latest revision as of 20:17, 11 September 2008

Part A

If we use the same procedure as we did in HW2D then we will find out it is not time variant. The we get

$ \,\ y(t)= (k+1)^2 \delta[(n-no)-(k + 1)] $

$ \,\ z(t) = (k+1+no)^2 \delta[(n-no)-(k + 1)] $

Part B

If we set k = 0 then the answer seems easier to get

i.e. $ \,\ \delta(n - 1) $ and now $ \,\ X[n] = u(n) $

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman