(New page: If we use the same procedure as we did in HW2D then we will find out it is not time variant. We get <math>\,\ y(t)= (k + 1)^2 \delta[n - n_0 -(k + 1)] </math> <math>\,\ z(t) = (k + 1 + n...)
 
(Part A)
 
(2 intermediate revisions by the same user not shown)
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If we use the same procedure as we did in HW2D then we will find out it is not time variant. We get
+
===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
  
<math>\,\ y(t)= (k + 1)^2 \delta[n - n_0 -(k + 1)] </math>
+
<math>\,\ y(t)= (k+1)^2 \delta[(n-no)-(k + 1)] </math>
  
<math>\,\ z(t) = (k + 1 + n_0)^2 \delta[n - n_0 -(k + 1)]</math>
+
<math>\,\ z(t) = (k+1+no)^2 \delta[(n-no)-(k + 1)]</math>
 +
===Part B===
 +
If we set k = 0 then the answer seems easier to get
 +
 
 +
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) $

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